{"id":"W6947115779","doi":"10.3886/e108642v1","title":"Maps of North America: Canadian 1996 Census Divisions and American 1990 Commuting Zones","year":2019,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Census; Population; Demographic analysis; Metropolitan area; Population statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007287886,0.001049288,0.001894452,0.001378412,0.0004812494,0.0002604277,0.005202736,0.0002548312,0.0001152574],"category_scores_gemma":[0.00124829,0.001093621,0.0001314029,0.001926252,0.001741174,0.0006184846,0.004534438,0.001451373,0.001667261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003387841,"about_ca_system_score_gemma":0.0006018956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8973617,"about_ca_topic_score_gemma":0.7684506,"domain_scores_codex":[0.9942352,0.0002688222,0.001102908,0.001874696,0.0009635376,0.00155479],"domain_scores_gemma":[0.9877573,0.0006643194,0.001917076,0.008421862,0.0001951872,0.001044221],"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":[0.00002661166,0.0000855639,0.009715148,0.0002291229,0.0002536733,0.00008651122,0.00006914596,0.000007823746,0.000009781455,0.000004038274,0.984343,0.005169589],"study_design_scores_gemma":[0.0004146453,0.0001433392,0.0169974,0.0003637066,0.0004929208,0.00004934079,0.0003386437,0.00008944752,0.000001897551,0.000004141481,0.9800161,0.001088468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01522509,0.0005639907,0.000001520676,0.0001793495,0.0004170017,0.0007233326,0.9827576,0.00009054901,0.00004151007],"genre_scores_gemma":[0.006063649,0.001118428,0.0009533219,0.0004512949,0.0002117217,0.00001920186,0.9909043,0.0002534462,0.00002461878],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1289112,"threshold_uncertainty_score":0.9991514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05186489400235458,"score_gpt":0.2973779365973496,"score_spread":0.245513042594995,"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."}}