{"id":"W2028775000","doi":"","title":"Home. Welcome to Toronto Health Economics and Technology Assessment Collaborative. Maggie Hong Chen Profile.","year":2014,"lang":"en","type":"article","venue":"","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chen; Media studies; Health economics; Library science; Sociology; Public health; Medicine; Computer science; Nursing","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":["insufficient_payload"],"category_scores_codex":[0.0009696434,0.0009508324,0.001200912,0.001110882,0.00164864,0.003362567,0.001270351,0.002813825,0.7807281],"category_scores_gemma":[0.006559751,0.0007675516,0.0005231973,0.001064259,0.0003871399,0.002064398,0.002911612,0.002826661,0.644865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001872825,"about_ca_system_score_gemma":0.00470466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03798063,"about_ca_topic_score_gemma":0.1457429,"domain_scores_codex":[0.9993203,0.0000946038,0.00002658121,0.00006926261,0.0003415936,0.0001477583],"domain_scores_gemma":[0.9908162,0.0007298149,0.0001993426,0.0002455977,0.003394413,0.00461462],"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":[0.0000105998,0.000003385665,0.00001468041,0.00001754443,3.020706e-7,0.000009763003,0.00000592417,0.000005310625,0.00001186699,0.00003782153,0.9954067,0.004475965],"study_design_scores_gemma":[0.00001720893,0.00001213811,0.0003341232,0.00004167375,0.000001789007,0.00002501187,0.00005137132,0.00002263743,0.0000204059,0.00008563173,0.9993804,0.000007525383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007736029,0.005129639,0.001541386,0.06029594,0.01492345,0.0006637353,0.02301561,0.005368998,0.8882875],"genre_scores_gemma":[0.000954084,0.0009654759,0.0002926217,0.004698191,0.0009313478,0.0001554735,0.001859713,0.000581107,0.989562],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2192719,"threshold_uncertainty_score":0.3127647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1460807718060196,"score_gpt":0.4227399004403517,"score_spread":0.2766591286343321,"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."}}