{"id":"W2034561645","doi":"","title":"Home. Welcome to Toronto Health Economics and Technology Assessment Collaborative. Shawn Xie 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":"Library science; Health economics; Sociology; Engineering; Management; Media studies; Computer science; Economics; Health care; Economic growth","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":[0.001295585,0.0008370744,0.001004347,0.001202157,0.001868203,0.002918961,0.001341127,0.002967172,0.7013466],"category_scores_gemma":[0.009908537,0.0007763033,0.0004855646,0.001024677,0.0004296835,0.001976895,0.002463531,0.003259666,0.4663306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002400327,"about_ca_system_score_gemma":0.008808077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08062804,"about_ca_topic_score_gemma":0.2861127,"domain_scores_codex":[0.9989358,0.0001626909,0.00005079672,0.00008064684,0.000562472,0.0002076317],"domain_scores_gemma":[0.9866695,0.001104958,0.0002822651,0.0003475548,0.005720608,0.005875128],"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":[0.000009713694,0.000003307308,0.00002100032,0.00001368351,2.998581e-7,0.00001229608,0.000005482917,0.000004414791,0.000006737892,0.00003724748,0.9957131,0.004172721],"study_design_scores_gemma":[0.00001801612,0.00001315313,0.000475912,0.000059078,0.000002069191,0.00004071795,0.00006729055,0.00002261442,0.00001987516,0.0001080878,0.9991645,0.000008760157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009184722,0.008116705,0.001601232,0.1400747,0.01681687,0.0006151154,0.03252982,0.004387718,0.7949395],"genre_scores_gemma":[0.00196027,0.00184181,0.0005714287,0.01062903,0.001319714,0.0001853436,0.002970337,0.0006952888,0.9798269],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2986534,"threshold_uncertainty_score":0.4259927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007624629797964951,"score_gpt":0.270460043250078,"score_spread":0.262835413452113,"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."}}