{"id":"W3133563604","doi":"10.3390/curroncol28020103","title":"Clinician Perspectives of COVID-19-Related Cancer Drug Funding Measures in Ontario","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Canadian Centre for Applied Research in Cancer Control; Sunnybrook Health Science Centre; Cancer Care Ontario","funders":"","keywords":"Interim; Medicine; Pandemic; Cancer drugs; Family medicine; Coronavirus disease 2019 (COVID-19); Cancer; Health care; Medical emergency; Disease; Internal medicine; Economic growth; Political science","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":[0.009560487,0.000179788,0.000325886,0.0007170957,0.01114862,0.00498727,0.001172984,0.002279337,0.004770477],"category_scores_gemma":[0.02827315,0.0005032163,0.0004190153,0.002133381,0.004069034,0.001633252,0.003703322,0.002572836,0.0002422044],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1201053,"about_ca_system_score_gemma":0.1241201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9337071,"about_ca_topic_score_gemma":0.9734525,"domain_scores_codex":[0.9839331,0.005194071,0.0008793617,0.0005974976,0.004777076,0.004618929],"domain_scores_gemma":[0.958282,0.008714653,0.007593059,0.0004889801,0.008998448,0.0159228],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006547909,0.000315656,0.4853853,0.001109556,0.0001165458,0.005381083,0.2002932,0.0008376421,0.002589234,0.01271919,0.194928,0.09566979],"study_design_scores_gemma":[0.0001571995,0.0003531634,0.3477798,0.0009681365,0.00006952588,0.000776882,0.2481507,0.0008085609,0.000583304,0.001489625,0.3986445,0.0002185899],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5287039,0.005401745,0.0003665465,0.4079907,0.0006110894,0.0002087186,0.0008201686,0.00003975526,0.05585748],"genre_scores_gemma":[0.9554836,0.002982643,0.0005697935,0.03571014,0.0002010979,0.00006946352,0.0001844692,0.00001973689,0.004779038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9904395,"threshold_uncertainty_score":0.8714288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3915084893332871,"score_gpt":0.5534017446107428,"score_spread":0.1618932552774556,"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."}}