{"id":"W7008469750","doi":"","title":"CANADIAN/UNITED STATES DATA CONVERSION TABLES","year":2017,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data conversion; Table (database); Data system; State (computer science); Data collection","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":[],"consensus_categories":[],"category_scores_codex":[0.00307225,0.001590621,0.001165954,0.02514902,0.004278952,0.004604186,0.003433508,0.0007403106,0.2502231],"category_scores_gemma":[0.03508994,0.0008666728,0.001522865,0.0589758,0.0005519607,0.001684482,0.001484245,0.0027486,0.08386669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02833256,"about_ca_system_score_gemma":0.06886106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9710197,"about_ca_topic_score_gemma":0.9641124,"domain_scores_codex":[0.9938151,0.0002934868,0.0007296891,0.0005050444,0.00367115,0.000985696],"domain_scores_gemma":[0.9570062,0.002483051,0.0009405935,0.002072125,0.03665315,0.0008449238],"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":[0.00002385445,0.00001647225,0.001106175,0.0002009069,0.0000104566,0.00003206137,0.00006256012,0.0001303251,0.00003419692,0.003092988,0.9800038,0.01528616],"study_design_scores_gemma":[0.00002627739,0.000006270717,0.01149688,0.0002205757,0.00001793818,0.00005721962,0.0003383784,0.0001770565,0.0001951993,0.0007771781,0.9866387,0.00004831558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006184012,0.000254555,0.0007336495,0.0006150255,0.0006719223,0.0003719171,0.9446973,0.0008212576,0.05121591],"genre_scores_gemma":[0.006843588,0.001687564,0.008166029,0.0007637698,0.00013527,0.001151268,0.9045478,0.001019241,0.07568555],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2502231,"threshold_uncertainty_score":0.8370795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.139557589640005,"score_gpt":0.3274579100697681,"score_spread":0.1879003204297631,"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."}}