{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03504051,0.001283271,0.00338475,0.006550911,0.003013052,0.007806993,0.004414606,0.01586636,0.08823331],"category_scores_gemma":[0.2654887,0.001099982,0.002408146,0.005506955,0.004595872,0.006612724,0.004123054,0.01450909,0.03978799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006298922,"about_ca_system_score_gemma":0.01739894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320098,"about_ca_topic_score_gemma":0.002815902,"domain_scores_codex":[0.9336823,0.03141491,0.01195652,0.00305813,0.01835162,0.001536503],"domain_scores_gemma":[0.8336048,0.07622949,0.009341433,0.01955152,0.05628337,0.004989519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005055735,0.0001073658,0.0005015741,0.02983273,0.0003263223,0.0004463265,0.0003279654,0.0001578839,0.0003428106,0.07656796,0.6700187,0.2208648],"study_design_scores_gemma":[0.0001031083,0.00007224177,0.0004524007,0.05784481,0.0002802189,0.0004487256,0.0002860934,0.00009159341,0.0003982294,0.03488092,0.9051105,0.00003102295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.000854369,0.2165206,0.007568705,0.2788023,0.1775572,0.002770102,0.004635565,0.0002418213,0.3110494],"genre_scores_gemma":[0.06404912,0.322852,0.01914975,0.2643249,0.07417267,0.01301919,0.006654294,0.000478735,0.2352993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08823331,"threshold_uncertainty_score":0.2951698,"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."}}