{"id":"W2071062533","doi":"","title":"Home. Welcome to Toronto Health Economics and Technology Assessment Collaborative. Amy Tawfik Profile.","year":2014,"lang":"en","type":"article","venue":"","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health economics; Sociology; Media studies; Library science; Public relations; Regional science; Political science; Economic growth; Health care; Computer science; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008904009,0.0002215927,0.0003162042,0.00005758098,0.000264251,0.00004349286,0.0002223357,0.0001011063,0.001905922],"category_scores_gemma":[0.00003879931,0.0002145965,0.00001706637,0.0002315812,0.0002024401,0.0003187573,0.0004270221,0.0001528011,0.0005870108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001410384,"about_ca_system_score_gemma":0.00007338739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001188017,"about_ca_topic_score_gemma":0.00600592,"domain_scores_codex":[0.997963,0.0001525822,0.0003515788,0.000785711,0.0001640643,0.0005830785],"domain_scores_gemma":[0.9989414,0.00007170409,0.0001317812,0.0004392593,0.000008713992,0.0004071746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003533335,0.0004418491,0.3181188,0.00007664147,0.00005362492,0.000004944018,0.001802213,0.0005276341,0.003684328,0.03282789,0.01348069,0.6289461],"study_design_scores_gemma":[0.001189798,0.001288719,0.4141974,0.00003007393,0.000009957298,0.00001246289,0.003619178,0.003637947,0.001203092,0.001708823,0.572314,0.0007884854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8683336,0.0001175178,0.009266535,0.03487235,0.0002688671,0.002039455,0.00003307288,0.0001868521,0.08488178],"genre_scores_gemma":[0.9612111,0.0007120771,0.03094676,0.005481056,0.00006249295,0.0001805208,0.00000917206,0.00003630666,0.001360453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6281576,"threshold_uncertainty_score":0.9990065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006955886222026893,"score_gpt":0.2679654807360605,"score_spread":0.2610095945140335,"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."}}