{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01617836,0.001044873,0.001917863,0.003657001,0.002021265,0.006855163,0.002981635,0.009468493,0.1179444],"category_scores_gemma":[0.1573461,0.0007840534,0.001985281,0.002469615,0.002121136,0.006382058,0.004394938,0.009428493,0.07891812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003722992,"about_ca_system_score_gemma":0.009772361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001489857,"about_ca_topic_score_gemma":0.002986001,"domain_scores_codex":[0.981196,0.005914352,0.003253858,0.001437638,0.00746025,0.0007379652],"domain_scores_gemma":[0.9111577,0.02549747,0.005934254,0.008928161,0.04256438,0.00591795],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003163144,0.00004023984,0.0002526182,0.006847234,0.0001602971,0.0002304487,0.00006405764,0.00007735239,0.0003661537,0.008918804,0.6951536,0.287573],"study_design_scores_gemma":[0.00005556408,0.00008028124,0.0003963332,0.0159895,0.0001798171,0.000263755,0.00007446919,0.00005658514,0.0003440351,0.007804743,0.9747366,0.00001830447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000661457,0.1629771,0.006679498,0.3167035,0.3047158,0.001014955,0.003210452,0.000494646,0.2035427],"genre_scores_gemma":[0.02174083,0.268208,0.008449458,0.2102202,0.1363824,0.001654952,0.004679625,0.0004414549,0.3482229],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9838216,"threshold_uncertainty_score":0.3945633,"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."}}