{"id":"W448174804","doi":"","title":"Home. Welcome to Toronto Health Economics and Technology Assessment Collaborative. Jennifer Gibson 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":"Sociology; Media studies; Library science; Regional science; Computer science","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":[0.00134125,0.0009544211,0.001173477,0.001660018,0.002143517,0.0031713,0.00156582,0.003216042,0.705998],"category_scores_gemma":[0.01317425,0.000855407,0.0005179723,0.001321358,0.0004930341,0.002639287,0.003108423,0.003669,0.5178601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002424153,"about_ca_system_score_gemma":0.00618297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06544896,"about_ca_topic_score_gemma":0.2259425,"domain_scores_codex":[0.9988567,0.0001747289,0.00004806755,0.00008938846,0.0006319328,0.0001991687],"domain_scores_gemma":[0.9843434,0.001445658,0.0004223018,0.0004286423,0.006520539,0.006839518],"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":[0.000006588594,0.000002598376,0.00001374478,0.00001442273,2.58485e-7,0.00001123364,0.000007255974,0.000003256391,0.00000493222,0.00003810636,0.9956024,0.00429521],"study_design_scores_gemma":[0.00001061528,0.000009597934,0.0003558611,0.0000725619,0.000001959367,0.00004751279,0.00007749119,0.00001520859,0.00001361572,0.0001322357,0.9992556,0.000007682536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007765981,0.01456598,0.001759405,0.1656411,0.02584891,0.0005341654,0.02344614,0.004865466,0.7625623],"genre_scores_gemma":[0.001531346,0.002581872,0.0005233834,0.01157109,0.001858853,0.0001596281,0.002132634,0.0007773548,0.9788639],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.294002,"threshold_uncertainty_score":0.4193581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1358998775740701,"score_gpt":0.4224385718139241,"score_spread":0.286538694239854,"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."}}