{"id":"W6902156227","doi":"10.6084/m9.figshare.c.3632333_d1.v1","title":"Additional file 3: of Phase-specific and lifetime costs of cancer care in Ontario, Canada","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; MEDLINE; Health care; Government (linguistics); Patient care","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":[0.0007497832,0.0009938912,0.001418596,0.003419908,0.001456319,0.002099667,0.002225675,0.001006234,0.3460843],"category_scores_gemma":[0.01541549,0.0006832985,0.001616375,0.01124432,0.0003936506,0.001081502,0.00104668,0.001082515,0.03587111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01315677,"about_ca_system_score_gemma":0.02208676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9317803,"about_ca_topic_score_gemma":0.9534314,"domain_scores_codex":[0.9992844,0.00005669957,0.0001011609,0.0001680174,0.0001994451,0.0001903498],"domain_scores_gemma":[0.9918357,0.002504866,0.0006617198,0.0006625034,0.003798947,0.0005362098],"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":[0.00007949914,0.00001227709,0.004415918,0.001052742,0.00005504199,0.00001939383,0.00004989783,0.0003336719,0.00001712045,0.0004891047,0.991168,0.002307325],"study_design_scores_gemma":[0.001046363,0.0000255375,0.08186724,0.003097285,0.0002239868,0.0001208403,0.0004263152,0.000940152,0.0001900498,0.001630692,0.9103538,0.00007787766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007344097,0.00002318315,0.00001138136,0.0000330478,0.000006037762,0.000007931102,0.9993346,0.00001680189,0.0004934272],"genre_scores_gemma":[0.003964246,0.0002087386,0.0002721584,0.00009572173,0.00001809517,0.000185273,0.9909747,0.00007539619,0.004205651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3460843,"threshold_uncertainty_score":0.9327314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613094629505934,"score_gpt":0.2583368684049657,"score_spread":0.2322059221099064,"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."}}