{"id":"W2259381135","doi":"10.18438/b8p32r","title":"Evidence and Ethics","year":2012,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003605295,0.000081502,0.00006882178,0.0001320897,0.0008765614,0.0009897145,0.0001202833,0.0001285194,0.0008140968],"category_scores_gemma":[0.03627003,0.00007974624,0.00001430927,0.0006077592,0.0001934458,0.5468484,0.00004929275,0.0006074383,0.000131199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001461737,"about_ca_system_score_gemma":0.000954081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001356002,"about_ca_topic_score_gemma":4.569873e-7,"domain_scores_codex":[0.9982786,0.0007888221,0.000272867,0.00008444466,0.0003653641,0.000209918],"domain_scores_gemma":[0.9874642,0.01173406,0.0002921806,0.0001419155,0.0001472217,0.0002204358],"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":[0.00005441931,0.00003137249,0.00388353,0.0000476681,0.000004745986,1.64508e-7,0.01541349,0.000001982128,0.000007906247,0.9643856,0.006015325,0.01015378],"study_design_scores_gemma":[0.00006364325,0.00002463352,0.01397163,0.0001754114,0.00002134665,0.000006118263,0.009942437,0.00005812135,0.00007211205,0.0001876186,0.9753645,0.0001124085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00403364,0.003629281,0.001215143,0.9352226,0.000542414,0.0002739222,0.000002988,0.000140396,0.0549396],"genre_scores_gemma":[0.7570966,0.01545386,0.008495896,0.2178686,0.0003377365,0.0000278341,0.000009331775,0.000005453223,0.0007047064],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9693492,"threshold_uncertainty_score":0.9718479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000866764990778,"score_gpt":0.399065179767963,"score_spread":0.2989785032688851,"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."}}