{"id":"W4255526730","doi":"10.1503/cmaj.1150110","title":"CIHR hikes grants","year":2016,"lang":"en","type":"erratum","venue":"Canadian Medical Association Journal","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Alberta; University Health Network; University of Toronto","funders":"","keywords":"Computer science; World Wide Web; Data science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.05104117,0.001194232,0.001778025,0.003184722,0.007685796,0.01409174,0.004945223,0.01902537,0.05999975],"category_scores_gemma":[0.2168499,0.001234697,0.001978608,0.002389814,0.004425293,0.005723326,0.005830531,0.02795602,0.04050796],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02016499,"about_ca_system_score_gemma":0.106529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1808137,"about_ca_topic_score_gemma":0.2287909,"domain_scores_codex":[0.8972973,0.009461227,0.004912466,0.006084237,0.07223575,0.01000902],"domain_scores_gemma":[0.8498446,0.02443881,0.004341434,0.01080501,0.08602272,0.02454744],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001745992,0.000005919553,0.00004781871,0.00002066269,0.000002956432,0.00002763457,0.00002415814,0.0000089099,0.00002136907,0.005811498,0.9902422,0.003769329],"study_design_scores_gemma":[0.00001642302,0.00001380951,0.0002201378,0.00008688783,0.000006019057,0.00003766531,0.00003572282,0.00002540816,0.00006634443,0.0007581046,0.9987158,0.0000177222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0004610898,0.004955765,0.0006864837,0.666442,0.2149736,0.0002043851,0.00168513,0.0007255282,0.109866],"genre_scores_gemma":[0.01160107,0.004985056,0.003447682,0.5070603,0.03139799,0.0002849342,0.002151242,0.0008138125,0.4382578],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.979835,"threshold_uncertainty_score":0.3595226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03447921259898087,"score_gpt":0.3485939423006111,"score_spread":0.3141147297016302,"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."}}