{"id":"W4211015553","doi":"10.12927/hcpol.2009.21183","title":"Summary of Terms","year":2009,"lang":"fr","type":"article","venue":"Healthcare policy","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Health, British Columbia; National Institute on Aging; Michael Smith Health Research BC","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.006247576,0.00138682,0.001961024,0.007031864,0.002703988,0.01779037,0.003461119,0.004698807,0.3840869],"category_scores_gemma":[0.0270731,0.0005981381,0.0009499155,0.009275836,0.002359819,0.009468175,0.003439634,0.003863712,0.4118405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005191358,"about_ca_system_score_gemma":0.00818357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0101047,"about_ca_topic_score_gemma":0.004611288,"domain_scores_codex":[0.9931746,0.001563689,0.00127221,0.0007860066,0.002606212,0.0005972863],"domain_scores_gemma":[0.9902596,0.002273248,0.0006496333,0.001224611,0.004653988,0.0009389435],"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":[0.00002988716,0.00001173995,0.0000631022,0.0004787946,0.000002998775,0.00003972507,0.0002149332,0.00005549045,0.00009590624,0.08159199,0.8766517,0.0407638],"study_design_scores_gemma":[0.000005442286,0.000007917694,0.0001671013,0.0004616193,0.000002165651,0.00006216853,0.0001923013,0.00003469942,0.00002948932,0.005925605,0.9931039,0.000007688861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005088771,0.009398492,0.007524845,0.03028553,0.02634834,0.001316495,0.03279008,0.001510745,0.8903167],"genre_scores_gemma":[0.0125813,0.01917138,0.01556146,0.01658351,0.0105217,0.003417443,0.04910133,0.002451141,0.8706108],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6159132,"threshold_uncertainty_score":0.8785253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07171033652699509,"score_gpt":0.4719747804652314,"score_spread":0.4002644439382363,"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."}}