{"id":"W1978419880","doi":"10.1016/j.ijid.2014.03.660","title":"Enumeration for health and government census data: Consensus or controversy?","year":2014,"lang":"en","type":"article","venue":"International Journal of Infectious Diseases","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Population; Quarter (Canadian coin); Numbering; Government (linguistics); Geography; De facto; Enumeration; Demography; Data collection; Statistics; Medicine; Environmental health; Computer science; Political science; Sociology; Mathematics","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4354053,0.001155476,0.003413658,0.01151628,0.004788229,0.01432882,0.01562177,0.01067583,0.006310312],"category_scores_gemma":[0.6239158,0.001790508,0.002284649,0.01964051,0.01927331,0.02676864,0.01311575,0.0201612,0.004612735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007855098,"about_ca_system_score_gemma":0.01817677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109487,"about_ca_topic_score_gemma":0.006578696,"domain_scores_codex":[0.647567,0.2269733,0.04132256,0.01748555,0.06202782,0.004623743],"domain_scores_gemma":[0.3318475,0.4720606,0.02577231,0.04320432,0.1193375,0.007777809],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001788436,0.000143061,0.01466455,0.005867771,0.0003587565,0.0003527559,0.01214921,0.000541037,0.0001411608,0.144577,0.4364111,0.3846148],"study_design_scores_gemma":[0.0001180689,0.0001009526,0.01648427,0.04841835,0.0001506,0.0008793494,0.02197406,0.002748377,0.0004746332,0.1379806,0.7703915,0.000279265],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003710072,0.05806617,0.02304439,0.8765991,0.02371891,0.0003222678,0.0008874629,0.0002272909,0.01342426],"genre_scores_gemma":[0.1927653,0.1156425,0.1400136,0.4872175,0.04812433,0.002644519,0.004651859,0.001537426,0.007402922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5645947,"threshold_uncertainty_score":0.6962458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200331207563559,"score_gpt":0.345873300409302,"score_spread":0.3238699883336664,"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."}}