{"id":"W1522477386","doi":"10.18438/b8kk65","title":"Keeping Evidence Alive","year":2014,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; History; Data 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003595194,0.0001535526,0.0002120529,0.0001329827,0.000650103,0.0001460857,0.0002421494,0.0001833142,0.002790602],"category_scores_gemma":[0.06383585,0.0001306452,0.0000376645,0.0003505255,0.00009856222,0.2787855,0.0001684488,0.0008059262,0.001462482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000179684,"about_ca_system_score_gemma":0.0003707605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003899552,"about_ca_topic_score_gemma":9.503112e-8,"domain_scores_codex":[0.9960087,0.002236215,0.0007727838,0.0002048449,0.0004337893,0.0003436659],"domain_scores_gemma":[0.9616932,0.03676834,0.000682011,0.0004235824,0.0001482177,0.0002846594],"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":[0.001966339,0.0001092915,0.01799607,0.003657853,0.00004177963,0.000005864072,0.00580711,0.00008570949,0.0001713311,0.8498632,0.05849651,0.06179891],"study_design_scores_gemma":[0.0002931589,0.00019668,0.008049204,0.002552071,0.00004569282,0.000003558708,0.003447129,0.00451581,0.0001683196,0.000326347,0.980233,0.0001690131],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01828749,0.001442582,0.01884601,0.892193,0.0009491701,0.00121106,0.000006272923,0.000502124,0.06656232],"genre_scores_gemma":[0.464835,0.003564889,0.01072057,0.5194569,0.0005826834,0.0001334698,0.00002651187,0.00001409124,0.0006659603],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9217365,"threshold_uncertainty_score":0.999315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05198250989321005,"score_gpt":0.3935270684828881,"score_spread":0.341544558589678,"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."}}