{"id":"W1561196025","doi":"","title":"Home. Welcome to Toronto Health Economics and Technology Assessment Collaborative. THETA 'S NEW HOME.","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":"Sociology; Library 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":[0.001625632,0.001322614,0.0012173,0.001136668,0.002647786,0.004453869,0.001751265,0.003648533,0.7691349],"category_scores_gemma":[0.01068804,0.0009005158,0.000830716,0.000908147,0.0007034577,0.002382148,0.004767023,0.004697674,0.4742759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00270643,"about_ca_system_score_gemma":0.00921474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05818311,"about_ca_topic_score_gemma":0.2071744,"domain_scores_codex":[0.998628,0.0002384031,0.00005229041,0.0001210985,0.0006103922,0.0003499085],"domain_scores_gemma":[0.9840834,0.001284872,0.0003473314,0.0005178541,0.004781808,0.008984764],"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":[0.0000124822,0.000006059854,0.00001715912,0.00002112871,5.40633e-7,0.00002385445,0.000009790454,0.000003865287,0.000008171022,0.00004798329,0.9956794,0.004169533],"study_design_scores_gemma":[0.00002740461,0.00001579605,0.0004574836,0.00006591476,0.000002673739,0.00003991006,0.0001335903,0.00001537277,0.00002012924,0.0001325681,0.9990805,0.000008477099],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001032547,0.009622805,0.001557111,0.15835,0.0473677,0.0006396879,0.02392944,0.005132591,0.7523682],"genre_scores_gemma":[0.002261296,0.001786674,0.0005081709,0.01008103,0.00231444,0.0001938667,0.002505757,0.0007503756,0.9795985],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2308651,"threshold_uncertainty_score":0.3293009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008289925678970566,"score_gpt":0.2685542353369066,"score_spread":0.2602643096579361,"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."}}