{"id":"W1687554344","doi":"","title":"Ontario Spent $110 Million to Get Doctors to Increase Cancer Screening Rates. It Didn’t Work. That’s Good News","year":2014,"lang":"en","type":"article","venue":"Insights (Essays)","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Medicine; Environmental health; Engineering","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":[0.002050649,0.0007953486,0.0005427656,0.0009668216,0.002966711,0.004975492,0.001060765,0.007623202,0.04433098],"category_scores_gemma":[0.01077209,0.0003388959,0.000904056,0.00108119,0.00217113,0.002187554,0.0009826748,0.006300667,0.009565474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01226095,"about_ca_system_score_gemma":0.02143516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5148484,"about_ca_topic_score_gemma":0.7231788,"domain_scores_codex":[0.9979402,0.0001547492,0.00006061118,0.0001078222,0.001316224,0.0004203921],"domain_scores_gemma":[0.9925115,0.001384509,0.0002432225,0.0002001107,0.003180302,0.002480297],"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":[0.00002650875,0.00001076248,0.000233952,0.00003455722,0.00001282629,0.00005194554,0.00004120619,0.00002210709,0.00007150016,0.00104872,0.9913892,0.00705658],"study_design_scores_gemma":[0.00002604213,0.00001417732,0.001369436,0.00007495697,0.00001127512,0.00002239144,0.0001502368,0.0000293508,0.00006901193,0.0003962451,0.9978223,0.00001453468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001256442,0.009241579,0.0002866831,0.8646334,0.05832307,0.00004237477,0.001739232,0.000218429,0.06425887],"genre_scores_gemma":[0.02131368,0.02062825,0.000963353,0.4174573,0.03388995,0.00006474082,0.002250222,0.0003207629,0.5031118],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4851516,"threshold_uncertainty_score":0.9760176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04924796527609739,"score_gpt":0.2521839931936198,"score_spread":0.2029360279175224,"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."}}