{"id":"W2154921243","doi":"10.18438/b8659r","title":"EBLIP7 Keynote: What We Talk About When We Talk About Evidence","year":2013,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01216046,0.001128908,0.001793333,0.002322592,0.004322611,0.01003547,0.002388266,0.02201814,0.2122538],"category_scores_gemma":[0.07715213,0.0007186743,0.001258142,0.001905104,0.003039351,0.01166307,0.00731853,0.02758287,0.1114629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004443441,"about_ca_system_score_gemma":0.006219447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003519692,"about_ca_topic_score_gemma":0.003982051,"domain_scores_codex":[0.9920799,0.002513023,0.001182522,0.0006120239,0.002778675,0.0008338838],"domain_scores_gemma":[0.9380655,0.0320839,0.002355994,0.001157386,0.01841516,0.00792203],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003450127,0.00000395915,0.00001831718,0.0001610988,0.000002353234,0.00004407968,0.00005612288,0.000006167294,0.00005976022,0.0005926478,0.9951299,0.003891174],"study_design_scores_gemma":[0.00001903943,0.00001194903,0.0001269198,0.0007823711,0.000006460585,0.00009129798,0.0003184805,0.00001531508,0.00008001092,0.001648394,0.9968867,0.00001306282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001474539,0.006440574,0.0008962029,0.6626315,0.2968857,0.0001720242,0.001099725,0.0002202627,0.03150673],"genre_scores_gemma":[0.002485824,0.005715331,0.0009110176,0.6697629,0.1781521,0.0004702217,0.0009028236,0.0005448756,0.141055],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9878395,"threshold_uncertainty_score":0.7100598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0782568194459972,"score_gpt":0.4098170187440578,"score_spread":0.3315601992980606,"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."}}