{"id":"W755097611","doi":"","title":"REVIEW OF CANADIAN FERRY SYSTEM COULD HELP TRUCKERS","year":2002,"lang":"en","type":"article","venue":"Transport topics","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Truck; Transport engineering; Engineering; Aeronautics; Business; Telecommunications; Forensic engineering; Automotive engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002071467,0.00008683671,0.0002403165,0.00006613014,0.00004559836,0.000005330042,0.0001730084,0.00004945452,0.002783915],"category_scores_gemma":[0.000006741742,0.00006794762,0.0000694355,0.0001588758,0.0000457881,0.00005733033,0.000002949627,0.00005575581,0.0001985751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002720892,"about_ca_system_score_gemma":0.00003979098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02502604,"about_ca_topic_score_gemma":0.01046458,"domain_scores_codex":[0.9992207,0.0000266965,0.0002817328,0.0001295554,0.0001557842,0.0001855821],"domain_scores_gemma":[0.9995629,0.000004821388,0.00004512466,0.0002170093,0.00004740028,0.0001227282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001691176,0.0005380444,0.05481655,0.3594043,0.0003724006,0.001012902,0.0162947,0.0001268743,0.2498898,0.07883619,0.1794935,0.05904559],"study_design_scores_gemma":[0.000248888,0.00008927642,0.003039535,0.005102163,0.0001103274,0.00003024453,0.0002054133,0.00004704538,0.02742478,0.00001757866,0.9633594,0.0003254139],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6334056,0.1176507,0.0000758046,0.00458739,0.001968295,0.000889026,0.000215849,0.000201982,0.2410054],"genre_scores_gemma":[0.9806863,0.01166963,0.0005723408,0.001336385,0.0001247819,0.00001231158,0.00001065011,0.00001554246,0.005572041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7838658,"threshold_uncertainty_score":0.9981277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05531022840200225,"score_gpt":0.2229792914101917,"score_spread":0.1676690630081895,"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."}}