{"id":"W6946211329","doi":"10.3389/fmed.2021.818647.s001","title":"Data_Sheet_1_Conditional Drug Approval as a Path to Market for Oncology Drugs in Canada: Challenges and Recommendations for Assessing Eligibility and Regulatory Responsiveness.docx","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug approval; Limiting; Notice; Clinical trial; Jurisdiction; Drug development; Drug; Cancer drugs","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01498628,0.001146206,0.001601303,0.01117706,0.00488762,0.01036175,0.005196502,0.00328695,0.24892],"category_scores_gemma":[0.1224007,0.001869249,0.002689932,0.03002194,0.001828121,0.004255559,0.003030129,0.003515676,0.03789966],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07225073,"about_ca_system_score_gemma":0.2075897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9510076,"about_ca_topic_score_gemma":0.9659148,"domain_scores_codex":[0.9814974,0.001696287,0.00240254,0.0008440306,0.01117075,0.00238889],"domain_scores_gemma":[0.8063806,0.04803802,0.01058927,0.008214183,0.1214153,0.005362656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006745596,0.00001606654,0.002060079,0.001036739,0.00002188031,0.0000341568,0.00007885235,0.0002990688,0.00004387999,0.003203222,0.9852327,0.007905981],"study_design_scores_gemma":[0.0003012075,0.00002834332,0.02633237,0.003169951,0.00007257696,0.00005666402,0.0006606899,0.0007592153,0.0003350734,0.002909617,0.9652462,0.0001282067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003532951,0.0002191093,0.0003655628,0.005829418,0.0002184894,0.0008256302,0.9636744,0.0004024909,0.02811161],"genre_scores_gemma":[0.01789453,0.003773944,0.01686034,0.02252933,0.0004645025,0.006519717,0.8513398,0.001266328,0.07935161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9277493,"threshold_uncertainty_score":0.8327202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06463162829091416,"score_gpt":0.3297829800922706,"score_spread":0.2651513518013564,"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."}}