{"id":"W4384025436","doi":"10.31979/mti.2023.2158","title":"Investing in California’s Transportation Future: 2022 Public Opinion on Critical Needs","year":2023,"lang":"en","type":"report","venue":"","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Business; Quarter (Canadian coin); Transport engineering; Work (physics); Transit (satellite); Traffic congestion; Finance; Engineering; Geography","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":[0.001902532,0.0001370639,0.0001017921,0.000731935,0.002123029,0.00210925,0.0003408139,0.001465347,0.008510594],"category_scores_gemma":[0.003306858,0.0001563815,0.0001906166,0.0004086687,0.0007030208,0.002139362,0.0009791193,0.001461349,0.0002955702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003037457,"about_ca_system_score_gemma":0.004622746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09928028,"about_ca_topic_score_gemma":0.1754419,"domain_scores_codex":[0.9993924,0.0001158261,0.00002778045,0.00003851384,0.0001845978,0.0002409283],"domain_scores_gemma":[0.9963526,0.0006660818,0.0006353688,0.00006143701,0.0009590965,0.001325541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002077434,0.0003867874,0.4938061,0.0005028101,0.00003911411,0.0008415719,0.04730093,0.0003410151,0.001395253,0.009727239,0.335618,0.1098334],"study_design_scores_gemma":[0.00003004012,0.0002024631,0.5334914,0.0005966218,0.00004135768,0.0003146703,0.2174189,0.0004310165,0.0002128349,0.0008509655,0.2463619,0.00004783941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7095189,0.002925787,0.0001698276,0.1857326,0.0008079066,0.00006570968,0.000816372,0.00003615948,0.09992675],"genre_scores_gemma":[0.9825398,0.002008296,0.0001588935,0.007614939,0.0003121367,0.00003175988,0.0004117795,0.000006886317,0.006915555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09928028,"threshold_uncertainty_score":0.1974049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112980790979232,"score_gpt":0.3381009107716266,"score_spread":0.2251201197923945,"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."}}