{"id":"W7098083963","doi":"","title":"THE CHARAC~ERIZA&amp;apos;I&amp;apos;ION AND MODELING","year":2015,"lang":"en","type":"article","venue":"","topic":"Historical Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reproduction; Legislation; Government (linguistics); Order (exchange); Control (management)","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":[],"consensus_categories":[],"category_scores_codex":[0.0004015085,0.0001298694,0.0002066,0.00004851197,0.0001863843,0.00003346175,0.00008814642,0.00008647123,0.0001126871],"category_scores_gemma":[0.001685624,0.00006802989,0.00004969032,0.0001486678,0.0001127614,0.00006554815,0.0000704695,0.000252649,0.0006050656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000170379,"about_ca_system_score_gemma":0.0001683141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003321507,"about_ca_topic_score_gemma":0.0001086579,"domain_scores_codex":[0.9984024,0.00005303889,0.000202152,0.0002388884,0.0006947379,0.0004088074],"domain_scores_gemma":[0.9982772,0.0001579515,0.00002355791,0.000309776,0.0001499714,0.00108155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004032923,0.00203136,0.01112481,0.0002517473,0.0007795728,0.0003950243,0.004610076,0.00002524586,0.008096154,0.007945479,0.1428269,0.8178807],"study_design_scores_gemma":[0.003994949,0.0007198979,0.0002939203,0.00009160946,0.00008325716,0.00008690434,0.000221739,0.00788239,0.0001843336,0.002617797,0.9836206,0.0002025441],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.907218,0.004758341,0.009156314,0.01623169,0.0005260414,0.0008000958,0.000006785663,0.0001914989,0.0611112],"genre_scores_gemma":[0.9522422,0.0008116687,0.001646056,0.0005782843,0.0003246419,0.00004028006,0.00003674284,0.0000230691,0.04429705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8407937,"threshold_uncertainty_score":0.7777096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5051335351506363,"score_gpt":0.4760099803340584,"score_spread":0.02912355481657786,"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."}}