{"id":"W2942777985","doi":"10.3747/co.26.4501","title":"Impact of a Novel Prioritization Framework on Clinician-Led Oncology Drug Submissions","year":2019,"lang":"en","type":"article","venue":"Current Oncology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Hamilton Health Sciences; University Health Network; Health Sciences Centre; Canadian Centre for Applied Research in Cancer Control; Mount Sinai Hospital; Juravinski Cancer Centre; Sunnybrook Health Science Centre; Cancer Care Ontario","funders":"","keywords":"Prioritization; Reimbursement; Medicine; Cancer drugs; Relevance (law); Resource (disambiguation); Health care; Business; Public relations; Drug; Process management; Pharmacology; Political science; Computer 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":[0.2081265,0.001853611,0.001493956,0.009491189,0.008937575,0.01500586,0.005667712,0.004369471,0.0183744],"category_scores_gemma":[0.2548319,0.001528274,0.002433591,0.007622209,0.003653111,0.009261973,0.01304558,0.005098732,0.003748215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02802105,"about_ca_system_score_gemma":0.1449163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.071412,"about_ca_topic_score_gemma":0.08629943,"domain_scores_codex":[0.7827909,0.1494674,0.01453978,0.0123947,0.03123158,0.009575685],"domain_scores_gemma":[0.60417,0.2366148,0.02444811,0.02170958,0.08020446,0.03285304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002435752,0.003261667,0.03882162,0.003068763,0.000493095,0.001185802,0.0127629,0.06564338,0.004095213,0.1284914,0.1362922,0.6034482],"study_design_scores_gemma":[0.005576841,0.00357714,0.04062187,0.003736103,0.0006809505,0.001164396,0.01305833,0.2927435,0.007486918,0.1927724,0.4370393,0.001542324],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1231239,0.004452243,0.5512643,0.1153967,0.003741972,0.02431304,0.004655685,0.01129195,0.1617603],"genre_scores_gemma":[0.3443324,0.0006707853,0.6314148,0.008718036,0.0008174666,0.004418096,0.002117044,0.0005467488,0.006964591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2081265,"threshold_uncertainty_score":0.976521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1171098460079281,"score_gpt":0.4160486646067729,"score_spread":0.2989388185988447,"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."}}