{"id":"W2971042416","doi":"10.1016/j.jclinepi.2019.08.007","title":"Training researchers in publication science: why, what, and how","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa; Queen's University; Ottawa Public Health; SickKids Foundation; University of Toronto; St. Michael's Hospital; Institute for Clinical Evaluative Sciences; Public Health Ontario; Hospital for Sick Children","funders":"Canada Research Chairs; Ontario SPOR SUPPORT Unit","keywords":"Medical education; Training (meteorology); MEDLINE; Data science; Medicine; Library science; Computer science; Biology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2423887,0.0008105426,0.002301493,0.006132614,0.005489691,0.02701324,0.003477895,0.01050325,0.007701359],"category_scores_gemma":[0.528286,0.001157849,0.001795493,0.009005909,0.01243968,0.02505613,0.009274347,0.01486463,0.003474833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00862877,"about_ca_system_score_gemma":0.05283685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005988618,"about_ca_topic_score_gemma":0.01150712,"domain_scores_codex":[0.8348952,0.1135796,0.008893537,0.006322918,0.02676211,0.009546647],"domain_scores_gemma":[0.2796795,0.5140971,0.03468765,0.02901717,0.07297523,0.06954336],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005928592,0.002008437,0.1116877,0.007439815,0.0007676434,0.0003091012,0.02119776,0.000878005,0.001205372,0.02522917,0.1577903,0.6708938],"study_design_scores_gemma":[0.00162686,0.001988185,0.1322287,0.03913422,0.00160817,0.001686988,0.08135484,0.004638061,0.004203856,0.2972819,0.4335275,0.0007206643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.02709599,0.02534353,0.006100189,0.9271339,0.005643303,0.0002227334,0.0001396923,0.0002290882,0.008091595],"genre_scores_gemma":[0.6176201,0.07071397,0.05091487,0.2329657,0.01773962,0.001088758,0.0005126208,0.0003276092,0.00811672],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9938674,"threshold_uncertainty_score":0.9342697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9615521669344763,"score_gpt":0.7569815892662182,"score_spread":0.2045705776682581,"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."}}