{"id":"W2788138713","doi":"10.23889/ijpds.v3i1.415","title":"Position Statement on Population Data Science:","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Statistics Canada; University of Calgary; Manitoba Health; University of British Columbia","funders":"Economic and Social Research Council; Medical Research Council","keywords":"Data science; Population; Field (mathematics); Computer science; Discipline; Analytics; Public engagement; Informatics; Big data; Engineering ethics; Knowledge management; Sociology; Public relations; Political science; Data mining; Social science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04811043,0.004227452,0.004286297,0.004273955,0.009682695,0.02512453,0.01116098,0.1011304,0.02580197],"category_scores_gemma":[0.1065816,0.001757611,0.004704964,0.003878207,0.01295807,0.01513374,0.01230334,0.1071609,0.0418779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01245791,"about_ca_system_score_gemma":0.05499892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0208788,"about_ca_topic_score_gemma":0.01474222,"domain_scores_codex":[0.9591146,0.00707903,0.003073183,0.007150071,0.02009617,0.003486947],"domain_scores_gemma":[0.8540393,0.06532431,0.007886548,0.005699791,0.04181831,0.02523171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003514298,0.00003880739,0.0001170317,0.0002350328,0.000019509,0.00009905157,0.0002503237,0.000092029,0.0001478723,0.01494329,0.9760833,0.00793855],"study_design_scores_gemma":[0.00004820179,0.00004469345,0.0002327922,0.00130229,0.00004240451,0.00008743045,0.0001915731,0.0002197041,0.0002591015,0.009958876,0.9875437,0.00006932338],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001590895,0.004388213,0.001455076,0.7684724,0.2091672,0.0001869887,0.0008824268,0.0001604275,0.01512812],"genre_scores_gemma":[0.003810727,0.006826634,0.006993263,0.7954215,0.1124628,0.001058827,0.0008581822,0.0004428249,0.07212515],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1011304,"threshold_uncertainty_score":0.2544353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09722525678110634,"score_gpt":0.4376056193179299,"score_spread":0.3403803625368236,"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."}}