{"id":"W2807878482","doi":"","title":"Canadian firms Mullen, TFI show mixed results in 1Q","year":2018,"lang":"en","type":"article","venue":"Transport topics","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Automotive engineering; Transport engineering; Advertising; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002870322,0.00009474102,0.000185479,0.0002870483,0.00007779841,0.00001222399,0.00015368,0.0001355691,0.0004794181],"category_scores_gemma":[0.00002490924,0.0001107363,0.00004269418,0.0003394903,0.00004782638,0.0000892024,0.000003721601,0.0001279546,0.0004508627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083126,"about_ca_system_score_gemma":0.00006631381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1035487,"about_ca_topic_score_gemma":0.4146623,"domain_scores_codex":[0.9989091,0.000003767787,0.0005174251,0.0002382866,0.00002267424,0.0003087987],"domain_scores_gemma":[0.9995517,0.000007061759,0.00008040987,0.0002444782,0.00003106852,0.00008533536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004880539,0.00007355444,0.2905582,0.00003307817,0.0000278907,0.00004285888,0.004089866,0.00003262462,0.000005884307,0.6914662,0.01044138,0.003179662],"study_design_scores_gemma":[0.0005265301,0.00003199702,0.3159545,0.000008073493,0.00000114947,0.00000103515,0.00002996928,0.0001292795,0.00008716182,0.007302538,0.6757742,0.0001536226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.682714,0.0001272806,0.0003313891,0.01569641,0.001229705,0.0002016216,0.0006056911,0.00003980552,0.2990541],"genre_scores_gemma":[0.9864545,0.00003126861,0.0003766945,0.001489908,0.0003958677,0.000006079547,0.00007617995,0.00001206049,0.0111574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6841637,"threshold_uncertainty_score":0.9024209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04229440749086884,"score_gpt":0.228518875637885,"score_spread":0.1862244681470162,"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."}}