{"id":"W2068125592","doi":"","title":"Home. Welcome to Toronto Health Economics and Technology Assessment Collaborative. Walter Wodchis 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; Library science; Sociology; Media studies; Regional science; Public health; Computer science; Medicine; 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":[0.001309533,0.0009826238,0.001199855,0.001605455,0.001524464,0.003799437,0.001286963,0.002712089,0.7439583],"category_scores_gemma":[0.009831713,0.0007455521,0.0005552973,0.001687968,0.00040556,0.002458695,0.002836987,0.002972762,0.6415634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001862481,"about_ca_system_score_gemma":0.005783114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0340737,"about_ca_topic_score_gemma":0.133145,"domain_scores_codex":[0.9988661,0.0001471264,0.00005401814,0.00008702132,0.0006309033,0.0002148932],"domain_scores_gemma":[0.9880773,0.001114474,0.0003315117,0.0004047416,0.004917703,0.005154386],"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":[0.00000920283,0.000003221311,0.00001309963,0.00001971746,2.64989e-7,0.000009224358,0.000005035546,0.000005500415,0.0000096735,0.00005243002,0.9944397,0.005432941],"study_design_scores_gemma":[0.0000116101,0.000008798615,0.0002759458,0.00005497241,0.000001192693,0.00003187755,0.00003429152,0.00001835402,0.00001655846,0.000111373,0.9994286,0.000006528655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006498578,0.005441927,0.00158989,0.05291434,0.01597488,0.0005569483,0.033354,0.004688794,0.8848293],"genre_scores_gemma":[0.001067719,0.00147326,0.000492244,0.00404576,0.001304567,0.0001461326,0.004315131,0.0008193792,0.9863358],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2560417,"threshold_uncertainty_score":0.3652124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1310555655651087,"score_gpt":0.420874039330249,"score_spread":0.2898184737651403,"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."}}