{"id":"W1564163403","doi":"","title":"Breaking the rules","year":2002,"lang":"en","type":"article","venue":"Canadian women's studies","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02035068,0.0009372114,0.001447027,0.002489937,0.02656382,0.02355968,0.003666578,0.01355518,0.03785972],"category_scores_gemma":[0.06457034,0.0008731493,0.0008961103,0.002333862,0.03436262,0.01002185,0.007473518,0.02604417,0.009138473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03823343,"about_ca_system_score_gemma":0.097261,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6533424,"about_ca_topic_score_gemma":0.683006,"domain_scores_codex":[0.9750555,0.004785612,0.0006160843,0.003440512,0.01010404,0.005998294],"domain_scores_gemma":[0.9682483,0.00686435,0.0008203482,0.00431136,0.01256198,0.007193721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000249916,0.00001991471,0.0004633156,0.00002920065,0.00001380705,0.00003979504,0.002065886,0.00008337283,0.00009316517,0.6118016,0.3719661,0.01339889],"study_design_scores_gemma":[0.00001861422,0.000008087434,0.0006124244,0.0001703937,0.00001079108,0.00001961029,0.002423477,0.0000979467,0.0001048453,0.08608583,0.9104198,0.0000281823],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004120375,0.005710552,0.004055507,0.4381347,0.01241523,0.00009125288,0.000394568,0.0002052534,0.5348727],"genre_scores_gemma":[0.1916533,0.005719932,0.004564591,0.3552857,0.003915133,0.0002760892,0.0004053506,0.0007106177,0.4374693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6533424,"threshold_uncertainty_score":0.6973982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132574516862826,"score_gpt":0.2386495624516598,"score_spread":0.2173238172830316,"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."}}