{"id":"W7115821296","doi":"","title":"PERCEIVED BARRIERS TO FREIGHT MOBILITY IN CANADA","year":2020,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); Grounded theory; Stakeholder; Supply chain; Politics; Work (physics); Key (lock); Public policy","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":[0.003322632,0.0003805995,0.0006559179,0.002913418,0.01013769,0.006530573,0.001886799,0.0009259445,0.006797348],"category_scores_gemma":[0.01316368,0.0003203319,0.0004344439,0.0069526,0.004172994,0.001802377,0.002941496,0.001425897,0.0002219738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1083695,"about_ca_system_score_gemma":0.2265929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964489,"about_ca_topic_score_gemma":0.9973781,"domain_scores_codex":[0.9955728,0.0003858083,0.0001883224,0.0002949835,0.002408748,0.001149288],"domain_scores_gemma":[0.9887303,0.002519393,0.00106586,0.0001579364,0.00599272,0.001533745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003502261,0.0001471922,0.4206902,0.004948605,0.0002374087,0.003978197,0.2799275,0.003329063,0.002016785,0.04405785,0.04032839,0.1999887],"study_design_scores_gemma":[0.00002473204,0.0001107471,0.4042725,0.003647532,0.0001511638,0.000627475,0.4044134,0.001742304,0.0007281437,0.002826712,0.1811323,0.0003230425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9051127,0.01567825,0.001278934,0.01777739,0.0001980684,0.0001750136,0.002334543,0.00006916164,0.05737585],"genre_scores_gemma":[0.987954,0.006185639,0.0003957555,0.0007687866,0.000009612225,0.00003410161,0.000332318,0.00001592307,0.004303755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1083695,"threshold_uncertainty_score":0.7862791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020550020696245,"score_gpt":0.1594136261532719,"score_spread":0.1492081259463095,"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."}}