{"id":"W6977286224","doi":"10.6084/m9.figshare.c.3632333_d3","title":"Additional file 1: Table S1. of Phase-specific and lifetime costs of cancer care in Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Cancer; Patient care; Health care; Cancer treatment","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006363622,0.000653076,0.0009673726,0.003736636,0.001494321,0.001244201,0.001540581,0.000479088,0.620585],"category_scores_gemma":[0.01202282,0.0005460308,0.0007240215,0.01279108,0.0002874668,0.0009016782,0.0006914467,0.0006544215,0.05058291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01669902,"about_ca_system_score_gemma":0.02574553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9517276,"about_ca_topic_score_gemma":0.9658315,"domain_scores_codex":[0.9993896,0.00003647951,0.00007796819,0.00009251819,0.000233119,0.0001702845],"domain_scores_gemma":[0.9899138,0.002537089,0.0006642782,0.0003110462,0.00604932,0.0005244834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003905893,0.00001660626,0.00384944,0.0005955264,0.0000177251,0.00001798558,0.00005395887,0.0002590757,0.00001351997,0.0003725765,0.9905872,0.00417741],"study_design_scores_gemma":[0.0008382273,0.00004635433,0.1408418,0.002363444,0.0001285137,0.0001938215,0.0009546906,0.001634717,0.0002171245,0.001773889,0.8509094,0.00009803811],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001612629,0.00001854923,0.000022824,0.00004956827,0.000007559366,0.00002516081,0.9984281,0.0000199376,0.001267043],"genre_scores_gemma":[0.01243314,0.0003788634,0.0007785349,0.0001925812,0.00003922189,0.000442109,0.9715247,0.0001422392,0.01406852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.620585,"threshold_uncertainty_score":0.5411894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267947169127246,"score_gpt":0.2099586777851898,"score_spread":0.1831639608724652,"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."}}