{"id":"W464415425","doi":"","title":"LibGuides. GEOG 204 Tutorial -- Census of Canada / NHS. Census/NHS Data.","year":2011,"lang":"en","type":"libguides","venue":"","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Census; Geography; Medicine; Environmental health; Population","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":[],"category_scores_codex":[0.0006800907,0.001175981,0.0008313856,0.007714236,0.001498908,0.003127757,0.00108333,0.0007966966,0.4467319],"category_scores_gemma":[0.005389956,0.000992285,0.0006056908,0.0210491,0.0004371075,0.001548938,0.001767026,0.001169213,0.3272179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004672572,"about_ca_system_score_gemma":0.0155155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7082582,"about_ca_topic_score_gemma":0.7499732,"domain_scores_codex":[0.9992459,0.00008084363,0.00008475386,0.00007807854,0.0003820147,0.000128409],"domain_scores_gemma":[0.996294,0.0004746585,0.0001771444,0.000206081,0.002512964,0.0003350208],"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":[0.00001073092,0.000003549077,0.0003112585,0.0001621932,0.000002091972,0.000007986674,0.00004614156,0.00002493377,0.00001533046,0.0004367851,0.9820936,0.01688546],"study_design_scores_gemma":[0.000007905565,0.0000026773,0.003226743,0.0002124115,0.000003376884,0.00001892548,0.0001441743,0.0000512913,0.000111949,0.0002738354,0.9959346,0.00001219236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005399092,0.0009159297,0.0003835312,0.0009017369,0.0002335225,0.00006951164,0.8493192,0.004341763,0.1432949],"genre_scores_gemma":[0.005771445,0.00304191,0.003678608,0.000609973,0.0001617077,0.0003455115,0.6832714,0.005709006,0.2974104],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4467319,"threshold_uncertainty_score":0.7891698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3518280984554659,"score_gpt":0.4353514067793664,"score_spread":0.08352330832390054,"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."}}