{"id":"W472528064","doi":"","title":"Home. Welcome to Toronto Health Economics and Technology Assessment Collaborative. Mayvis Rebeira 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":"Health economics; Computer science; Sociology; Medicine; Public health; 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":[0.001136422,0.001074011,0.001211019,0.001450884,0.001692971,0.00413114,0.001472849,0.003326639,0.751071],"category_scores_gemma":[0.008284128,0.0007059614,0.0005459738,0.001209278,0.0004078965,0.002681332,0.002889464,0.003173921,0.6257904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00214339,"about_ca_system_score_gemma":0.004388614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02743428,"about_ca_topic_score_gemma":0.108395,"domain_scores_codex":[0.9991334,0.0001120208,0.00003397558,0.00007250605,0.0004602922,0.0001878337],"domain_scores_gemma":[0.9900309,0.0008685727,0.0002454323,0.000260708,0.00398799,0.004606339],"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":[0.000007404391,0.000002822862,0.00001064245,0.0000133322,2.002141e-7,0.00000823365,0.000005258261,0.000003787701,0.000006934514,0.00003788773,0.9957188,0.004184828],"study_design_scores_gemma":[0.00001144609,0.000009102364,0.0002275667,0.00005587729,0.000001196679,0.00003324218,0.00004521376,0.00001537227,0.00001349462,0.0001047833,0.9994769,0.000005974756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006179136,0.007992097,0.001151528,0.08186649,0.02197471,0.0004317082,0.01964286,0.004785573,0.8615372],"genre_scores_gemma":[0.000966365,0.001529459,0.0002951035,0.005983192,0.001647978,0.0001123353,0.002249443,0.0006491356,0.9865671],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9725657,"threshold_uncertainty_score":0.355067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1384374314877155,"score_gpt":0.4236706830970594,"score_spread":0.2852332516093439,"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."}}