{"id":"W4206948979","doi":"10.1126/article.65350","title":"A Science Makeover at Concordia University","year":2021,"lang":"en","type":"dataset","venue":"AAAS Articles DO Group","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005149972,0.0002543365,0.0004370951,0.0008607723,0.001077606,0.001200128,0.004422797,0.0001875933,0.003996141],"category_scores_gemma":[0.003998556,0.0001973772,0.0002012046,0.005937431,0.002743085,0.001134568,0.003001876,0.0005919125,0.0043722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003924734,"about_ca_system_score_gemma":0.0008658687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004374251,"about_ca_topic_score_gemma":0.0007905458,"domain_scores_codex":[0.9918993,0.0003558121,0.0004910605,0.001489067,0.004828252,0.0009365297],"domain_scores_gemma":[0.9956287,0.001231073,0.0002754671,0.001739192,0.0004742123,0.0006513885],"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":[0.00002442443,0.00004825885,0.001125773,0.000004857511,0.000006237205,0.0002415371,0.00006615278,0.000004838588,0.001325429,0.0007895489,0.9925203,0.003842669],"study_design_scores_gemma":[0.0002669575,0.00005999906,0.005858839,0.00002300479,0.0000140845,0.00002630552,0.0007998823,0.0001337498,0.0003374192,0.001506219,0.9907067,0.0002668426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1978958,0.0003067246,0.00005395104,0.001223969,0.0009648073,0.0002744221,0.7964863,0.0000403121,0.002753803],"genre_scores_gemma":[0.5593392,0.002262556,0.001492158,0.006199938,0.001832179,0.00001854892,0.3615638,0.00009690104,0.06719478],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4349225,"threshold_uncertainty_score":0.9999709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09293874819442777,"score_gpt":0.3796767646696096,"score_spread":0.2867380164751818,"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."}}