{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00195067,0.001580935,0.001216922,0.005041468,0.001087538,0.003430597,0.002247989,0.002420917,0.08701203],"category_scores_gemma":[0.01337983,0.00060804,0.0009700924,0.007810156,0.0004646708,0.001499329,0.001545392,0.001971086,0.1027371],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868534,"about_ca_system_score_gemma":0.004240321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04181033,"about_ca_topic_score_gemma":0.09141443,"domain_scores_codex":[0.9983928,0.0003200574,0.0001336333,0.0003609988,0.0005334684,0.000259033],"domain_scores_gemma":[0.9927984,0.002196889,0.0005434545,0.001738111,0.001610376,0.001112707],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004934491,0.00001879427,0.0007613554,0.0001458364,0.00001197174,0.00001107678,0.0000124746,0.0001574604,0.00002969753,0.0003624346,0.9969031,0.001536283],"study_design_scores_gemma":[0.0002199302,0.0000159788,0.003921613,0.000178249,0.00002042333,0.00002595838,0.00006400548,0.000534729,0.000225271,0.001211146,0.9935655,0.0000172864],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003039623,0.00008655129,0.0000610768,0.0001716534,0.00004049222,0.00001292505,0.9970179,0.0003207076,0.001984749],"genre_scores_gemma":[0.0007634046,0.00006616722,0.0002964954,0.00009615503,0.00001574942,0.00004667943,0.9966422,0.00009620346,0.001976874],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9981315,"threshold_uncertainty_score":0.2910842,"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."}}