{"id":"W1491455099","doi":"","title":"Home. Welcome to Toronto Health Economics and Technology Assessment Collaborative. Suzanne Chung 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; Library science; Gerontology; Regional science; Media studies; Medicine; Public health; Nursing; 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":[0.001034112,0.0008986283,0.0009477815,0.001117393,0.002374136,0.003365451,0.001357559,0.003610324,0.7441891],"category_scores_gemma":[0.007803655,0.00084992,0.0005213539,0.0009862069,0.0004450737,0.002281899,0.003022569,0.003479735,0.5146796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078391,"about_ca_system_score_gemma":0.006585519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06379978,"about_ca_topic_score_gemma":0.2636901,"domain_scores_codex":[0.9990785,0.0001253511,0.00003382713,0.00007960486,0.0004819394,0.0002007094],"domain_scores_gemma":[0.9901946,0.0007900197,0.0002208374,0.0002922592,0.003937721,0.004564518],"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":[0.000009375065,0.00000362026,0.0000180983,0.00001428062,3.266657e-7,0.00001464129,0.000006763737,0.000003578534,0.000009089295,0.00003709382,0.996385,0.003498184],"study_design_scores_gemma":[0.00001410454,0.00001129343,0.0004292798,0.00004612486,0.000002214407,0.00003661996,0.00009007972,0.00001772368,0.00002211074,0.0001014133,0.9992204,0.000008632283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008792929,0.006576029,0.001210805,0.1177984,0.020836,0.0004789883,0.02103738,0.004448907,0.8267342],"genre_scores_gemma":[0.001563186,0.001269695,0.0003412163,0.008571086,0.001291346,0.0001293635,0.001593601,0.0005599902,0.9846806],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2558109,"threshold_uncertainty_score":0.3648832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006721756342741813,"score_gpt":0.2662595577616023,"score_spread":0.2595378014188605,"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."}}