{"id":"W640014637","doi":"","title":"Crossing the border : Canada","year":2005,"lang":"en","type":"article","venue":"Heavy duty trucking","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Subtitle; Transport engineering; Truck; Business; Aeronautics; Engineering; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008988463,0.0003221864,0.0005207307,0.001795554,0.03544107,0.007714339,0.001722218,0.002760465,0.01906535],"category_scores_gemma":[0.002533735,0.0004003025,0.000409987,0.006380356,0.003972644,0.002518728,0.003755362,0.005192528,0.0007790851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1207409,"about_ca_system_score_gemma":0.2501838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9986948,"about_ca_topic_score_gemma":0.99961,"domain_scores_codex":[0.9977181,0.0001231977,0.00003261583,0.0001552809,0.0004002287,0.001570608],"domain_scores_gemma":[0.9976102,0.0001117598,0.0001142874,0.00004514757,0.0008589759,0.001259648],"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":[0.0002365323,0.0001910279,0.09615346,0.000514503,0.00008317584,0.00279022,0.1313485,0.0009610872,0.0004888114,0.3078044,0.3020636,0.1573647],"study_design_scores_gemma":[0.00002176008,0.00003329109,0.1265233,0.0005791025,0.00004129999,0.0002457227,0.1800112,0.0003781511,0.0001568843,0.004650948,0.6872618,0.00009640155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4574144,0.01760465,0.0007059796,0.07175086,0.001588901,0.0001387038,0.002773464,0.00006010563,0.4479628],"genre_scores_gemma":[0.8482916,0.009154076,0.0004836815,0.005837023,0.0000866421,0.00003662079,0.0008358784,0.00005604276,0.1352184],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1207409,"threshold_uncertainty_score":0.8760408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058032505681952,"score_gpt":0.2632670660021992,"score_spread":0.2526867409453797,"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."}}