{"id":"W7037491052","doi":"","title":"1997 Economic Census: Transportation: 1997 Commodity Flow Survey: Reminder of Arizona","year":2000,"lang":"en","type":"other","venue":"Rosa P: A digital library for transportation research (United States Department of Transportation)","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Census; Commodity; Population; General partnership; Survey data collection; Principal (computer security); Quarter (Canadian coin); Public transport","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003444588,0.0007604727,0.001130936,0.00144713,0.0001338892,0.0001563144,0.0007471385,0.0005724757,0.001907991],"category_scores_gemma":[0.000009962772,0.000836975,0.0005643975,0.001380317,0.0004747545,0.001039411,0.000003769272,0.0006665392,0.00004113195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007362345,"about_ca_system_score_gemma":0.0002883281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004979446,"about_ca_topic_score_gemma":0.001668048,"domain_scores_codex":[0.9952527,0.0001270021,0.001614349,0.0007917257,0.001201938,0.001012332],"domain_scores_gemma":[0.9975762,0.0007866606,0.0003373903,0.0006467327,0.0002027636,0.000450227],"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":[0.0009111807,0.0004474312,0.003893552,0.002867588,0.0009951212,0.00004727856,0.0005197079,0.005267301,0.000002854989,0.0006089644,0.9819419,0.002497103],"study_design_scores_gemma":[0.001967513,0.0004532104,0.006687408,0.0004660499,0.0001327754,5.224006e-7,0.0001847954,0.002726399,0.001132107,0.000459558,0.9850467,0.0007429481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04159068,0.0008498614,0.0004013159,0.00008934017,0.0002294895,0.002061234,0.9534374,0.0005346907,0.0008059566],"genre_scores_gemma":[0.1103261,0.002100285,0.001204112,0.00001976821,0.0001017313,0.0004191519,0.8792084,0.0007682705,0.005852148],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07422904,"threshold_uncertainty_score":0.9994081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218094124117585,"score_gpt":0.2726391009193009,"score_spread":0.2404581596781251,"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."}}