{"id":"W6990700405","doi":"","title":"1997 Economic Census: Transportation: 1997 Commodity Flow Survey: Minneapolis-St Paul, MN-WI MSA (MN part)","year":2000,"lang":"en","type":"other","venue":"Rosa P: A digital library for transportation research (United States Department of Transportation)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Commodity; Census; Population; General partnership; Survey data collection; Principal (computer security); State (computer science); Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0009899924,0.002077206,0.002386544,0.002515575,0.0006252372,0.0007892918,0.001800722,0.00123267,0.006017825],"category_scores_gemma":[0.00003602067,0.002346753,0.001420311,0.003482435,0.001375281,0.003679719,0.00001020331,0.001380726,0.0006796326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002550639,"about_ca_system_score_gemma":0.001097842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005160602,"about_ca_topic_score_gemma":0.01126508,"domain_scores_codex":[0.9878365,0.0006473932,0.003676031,0.002545649,0.002753065,0.00254139],"domain_scores_gemma":[0.9931195,0.001679528,0.001733239,0.00154309,0.0005389545,0.001385697],"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":[0.003666358,0.001769755,0.0008166977,0.001911023,0.001582786,0.0002015282,0.000810355,0.0006375455,2.878175e-7,0.001004005,0.9865988,0.001000857],"study_design_scores_gemma":[0.005008715,0.0009842856,0.0008884105,0.0008566059,0.0005357873,0.000002185336,0.0004790844,0.0008143064,0.0004473332,0.001042921,0.9868347,0.002105649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.015606,0.0009263602,0.000412062,0.0005863261,0.0005154547,0.005187328,0.9749991,0.001552561,0.0002148135],"genre_scores_gemma":[0.005482626,0.002001172,0.001584685,0.0001594659,0.0004064091,0.001970177,0.9687419,0.002813891,0.01683971],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01662489,"threshold_uncertainty_score":0.9991969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04560168199860232,"score_gpt":0.2948505521240919,"score_spread":0.2492488701254896,"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."}}