{"id":"W2609294060","doi":"","title":"Home. Welcome to Toronto Health Economics and Technology Assessment Collaborative. THETA's Year in Review.","year":2014,"lang":"en","type":"article","venue":"","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health economics; Library science; Sociology; Public health; Medicine; Computer science; 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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00656974,0.00197098,0.003462349,0.005591386,0.001405365,0.008643046,0.003344347,0.006466209,0.5317495],"category_scores_gemma":[0.0548141,0.001346977,0.002179301,0.004472763,0.00104778,0.006080516,0.005679791,0.007549667,0.369947],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004336871,"about_ca_system_score_gemma":0.01461766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01869296,"about_ca_topic_score_gemma":0.06409868,"domain_scores_codex":[0.994249,0.0009326054,0.0005115843,0.000412065,0.00310557,0.0007892085],"domain_scores_gemma":[0.926069,0.009060964,0.00584925,0.002112885,0.0295727,0.02733523],"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":[0.00001705778,0.000002850011,0.000008417174,0.0002224291,0.000002574932,0.0000150295,0.000005819613,0.000005452301,0.00001217328,0.00005299993,0.9942722,0.00538302],"study_design_scores_gemma":[0.00005318537,0.0000214705,0.0001900455,0.0006628922,0.0000100443,0.00003890238,0.00003987844,0.00001005987,0.00001872667,0.0002537114,0.9986897,0.00001140662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.000260542,0.1106888,0.001293238,0.4230243,0.3088036,0.0009004769,0.01893783,0.003390496,0.1327008],"genre_scores_gemma":[0.001915039,0.04467038,0.001666999,0.1065499,0.08948002,0.0009973701,0.007196696,0.001606737,0.745917],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9956631,"threshold_uncertainty_score":0.6679025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04577932263590243,"score_gpt":0.4570644207200924,"score_spread":0.41128509808419,"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."}}