{"id":"W4402701601","doi":"","title":"THIRD QUARTER TRANSPORTATION REPORT FISCAL YEAR 2024","year":2024,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Fiscal year; Geography; Economics; Archaeology; Finance","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":[0.001572247,0.001788422,0.0009762006,0.002386658,0.001582092,0.004764228,0.002112094,0.003716587,0.2031189],"category_scores_gemma":[0.00374504,0.0005708756,0.000837092,0.004420002,0.0002652354,0.002375202,0.001059375,0.002330958,0.2873889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005323126,"about_ca_system_score_gemma":0.01716857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2346869,"about_ca_topic_score_gemma":0.2148425,"domain_scores_codex":[0.9983245,0.0001189595,0.0001008941,0.0001330601,0.001024466,0.0002982126],"domain_scores_gemma":[0.9971924,0.00007318486,0.00008140041,0.00008714794,0.002357895,0.0002079695],"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":[0.00003222939,0.00001258738,0.0001390579,0.00004225973,0.000003194768,0.000008110688,0.000004299538,0.0000575205,0.00003106827,0.0004940306,0.9951448,0.004030853],"study_design_scores_gemma":[0.00002511477,0.00001877194,0.001486111,0.00008053383,0.000009637998,0.000009314896,0.00007229133,0.0001184568,0.0001125423,0.0003292268,0.9977282,0.00000989982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001640448,0.003454273,0.001373153,0.0151816,0.02481305,0.0007528211,0.4977193,0.001698637,0.4533668],"genre_scores_gemma":[0.00415809,0.003679653,0.001003351,0.002965673,0.001081946,0.0009194055,0.2237568,0.000397998,0.7620371],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2346869,"threshold_uncertainty_score":0.6795005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098770846613757,"score_gpt":0.2533844311432604,"score_spread":0.2423967226771228,"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."}}