{"id":"W6967423188","doi":"10.5064/f6buax58/kzzgzk","title":"Burke_EDI_NENA.ConfirmationEDIrelate.2017.11.06.ods","year":2018,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Venn diagram; Workbook; Set (abstract data type); Diagram; Microsoft excel; Table (database)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003788536,0.001497387,0.001591231,0.001652056,0.001813664,0.0003575574,0.008025045,0.001541566,0.0007539431],"category_scores_gemma":[0.001586599,0.001712671,0.0003837314,0.001350365,0.00262363,0.003831743,0.004831743,0.00187388,0.01932722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668065,"about_ca_system_score_gemma":0.001395234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007620578,"about_ca_topic_score_gemma":0.001389455,"domain_scores_codex":[0.9861963,0.005937854,0.001326222,0.003106071,0.00220155,0.001231972],"domain_scores_gemma":[0.9838042,0.002120011,0.002656848,0.009105741,0.001529742,0.0007834455],"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":[0.0003104083,0.0004716039,0.000009486581,0.0003695686,0.001253978,0.001514579,0.005257468,0.000002045014,0.0001826629,0.0003170222,0.9903038,0.000007386289],"study_design_scores_gemma":[0.001623901,0.0001778982,0.00005154357,0.0005005969,0.001595388,0.0001510202,0.01511633,0.00006287448,0.00006494924,0.00007075963,0.9787076,0.001877187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004171324,0.0002160122,0.000175058,0.0001561907,0.003206781,0.001072431,0.991993,0.000596622,0.002166746],"genre_scores_gemma":[0.00006849141,0.0001519976,0.001166209,0.0001167789,0.00195251,0.000004788106,0.9889349,0.0001673957,0.007436943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01857328,"threshold_uncertainty_score":0.9997775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08333882415632479,"score_gpt":0.3593187148789987,"score_spread":0.2759798907226739,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}