{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"48d8ce648bdb","filters":{"venue":"the Clinical Research Education Library"}},"results":[{"id":"W2417153134","doi":"10.1044/cred-pd-r101-002","title":"Using Twitter and Blogs to Advance Your Research","year":2015,"lang":"en","type":"article","venue":"the Clinical Research Education Library","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"World Wide Web; Social media; Computer science; Data science; Internet privacy","authors":[{"name":"Susan Rvachew","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.91140949437936,"gpt":0.7386699540509972,"spread":0.1727395403283628,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02599743,0.00007856202,0.0001594895,0.0002953105,0.001285736,0.0003003749,0.0007847761,0.0001763992,0.0001921814],"category_scores_gemma":[0.08092939,0.00006366476,0.00003360418,0.002131713,0.001790645,0.0007838021,0.0003683205,0.001228617,0.0004462813],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002420913,"about_ca_system_score_gemma":0.01283812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002893599,"about_ca_topic_score_gemma":0.00008525096,"domain_scores_codex":[0.9890212,0.007746063,0.0004464937,0.000414613,0.001568315,0.0008032779],"domain_scores_gemma":[0.9760043,0.02078394,0.0000771116,0.0005698305,0.001031245,0.001533564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001997156,0.0006295057,0.1931351,0.00003664583,0.00001143742,0.000001318675,0.1188196,0.000002325682,0.00001912123,0.05708284,0.451774,0.1782885],"study_design_scores_gemma":[0.0001226477,0.0001376061,0.04517134,0.00006731933,0.000002655494,6.023604e-7,0.05788065,0.00001390361,0.00001479088,0.07372006,0.8227796,0.00008880667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7451492,0.0008433428,0.000009304366,0.2319764,0.004133191,0.001855181,0.000001426305,0.00004931016,0.01598261],"genre_scores_gemma":[0.9535862,0.001636522,0.009209046,0.005712372,0.01815203,0.001420086,0.000009430365,0.000061504,0.01021279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3710056,"threshold_uncertainty_score":0.9927582,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W768536881","doi":"10.1044/cred-impl-rmr-001","title":"Implementation Science: Realities and Lessons Learned","year":2014,"lang":"en","type":"article","venue":"the Clinical Research Education Library","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Engineering ethics; Political science; Sociology; Psychology; Engineering","authors":[{"name":"Wenonah Campbell","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7585890726462496,"gpt":0.7009610439070334,"spread":0.05762802873921624,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04747489,0.00008666604,0.0002183477,0.0005521986,0.001232384,0.00199112,0.001567471,0.00005288275,0.0007234641],"category_scores_gemma":[0.02677082,0.00004887402,0.00007549115,0.002049344,0.001652127,0.001345344,0.0009735275,0.0004260607,0.0004436517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002015692,"about_ca_system_score_gemma":0.001812007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001108089,"about_ca_topic_score_gemma":0.00001904319,"domain_scores_codex":[0.9920915,0.003018298,0.001027976,0.0006711571,0.002785976,0.0004050931],"domain_scores_gemma":[0.968791,0.0283656,0.0002689096,0.001430693,0.0007399644,0.0004038479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001670389,0.00003118613,0.0110143,0.000001530871,0.000001550617,7.218676e-8,0.0003486205,6.691239e-7,0.0000259594,0.3734798,0.1374369,0.4776427],"study_design_scores_gemma":[0.0001033952,0.00006306481,0.1523619,0.00001114632,0.000001045568,0.000001935591,0.007272221,0.0003397688,0.00003077115,0.5128425,0.3269275,0.00004468311],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8329233,0.0006128625,0.0007057592,0.1111661,0.001502132,0.0005940423,0.000009252526,0.0001101453,0.05237638],"genre_scores_gemma":[0.9858996,0.00009030055,0.0006450675,0.0009830826,0.0007832382,0.00003606856,0.00000204276,0.00001410978,0.0115465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4775981,"threshold_uncertainty_score":0.9990449,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1822993025","doi":"10.1044/cred-pvd-c14002","title":"Discriminating Children with SLI Among English Language-Learners","year":2014,"lang":"en","type":"article","venue":"the Clinical Research Education Library","topic":"Digital Communication and Language","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Specific language impairment; Linguistics; Psychology; Computer science; Developmental psychology; Philosophy","authors":[{"name":"Johanne Paradis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06804938259096736,"gpt":0.409629732783328,"spread":0.3415803501923606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002728565,0.00009886283,0.0001261765,0.0001158664,0.0002849037,0.0007654915,0.002739681,0.0000567955,0.00009193851],"category_scores_gemma":[0.002703051,0.00006015956,0.0000630645,0.0007256751,0.0004922012,0.001730921,0.0009081326,0.00079732,0.0001242479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001237175,"about_ca_system_score_gemma":0.0004215857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005017217,"about_ca_topic_score_gemma":0.000008989962,"domain_scores_codex":[0.9970277,0.001498827,0.0003027913,0.0003429042,0.0005068885,0.0003208974],"domain_scores_gemma":[0.995502,0.002392279,0.00009861391,0.001665367,0.0001062053,0.0002355698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001739054,0.0004988486,0.06905086,0.00001107098,0.00003000605,6.709235e-7,0.008492053,0.000004946235,0.000003421573,0.3859078,0.02192781,0.5140551],"study_design_scores_gemma":[0.0007989441,0.0006952085,0.84762,0.000220864,0.0000132043,0.000008700556,0.02093885,0.002766109,0.0002853729,0.01526643,0.1108353,0.0005511082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6111664,0.0001893625,0.001067133,0.01171679,0.0001687297,0.0003898916,0.000001509262,0.0003254583,0.3749747],"genre_scores_gemma":[0.9874467,0.00003561012,0.004173987,0.001417779,0.0003324602,0.00004794024,0.00003373245,0.00001944227,0.006492393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7785691,"threshold_uncertainty_score":0.7381651,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}