{"id":"W2569430182","doi":"","title":"Research reports (2007): Report of distribution and consumption in Canada","year":2008,"lang":"en","type":"article","venue":"Keizai keizai","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Distribution (mathematics); Business; Marketing; Computer science; Operations management; Economics; Aesthetics; Art; Mathematics","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":[0.0004303901,0.0005355439,0.0004035491,0.006734759,0.002431843,0.002020202,0.0007973679,0.0004068984,0.01436058],"category_scores_gemma":[0.001523458,0.0003402565,0.0006284063,0.02065842,0.0004066487,0.0007000787,0.0007636298,0.000694891,0.002594593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03149808,"about_ca_system_score_gemma":0.09486295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968162,"about_ca_topic_score_gemma":0.997881,"domain_scores_codex":[0.9987105,0.00002625695,0.0000665315,0.00008303226,0.0008338977,0.0002797311],"domain_scores_gemma":[0.9957404,0.0001036659,0.0001664142,0.00005276347,0.003586982,0.0003497566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002199156,0.0002148907,0.4765957,0.0005501931,0.00016798,0.0004283254,0.001884317,0.0007567666,0.0006923736,0.003142645,0.4439303,0.07141659],"study_design_scores_gemma":[0.000008811126,0.0000247183,0.7967107,0.00009304829,0.00005734278,0.00008006018,0.004170265,0.0005832899,0.001306716,0.0001267961,0.1967864,0.0000518378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2099263,0.005771314,0.0007634473,0.003514091,0.0003545465,0.000309554,0.6807869,0.0004306867,0.09814315],"genre_scores_gemma":[0.336387,0.01229342,0.002435603,0.0006278976,0.00006888675,0.0002341317,0.2597149,0.0001790556,0.388059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03149808,"threshold_uncertainty_score":0.2285356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05289906644712207,"score_gpt":0.2398780047757418,"score_spread":0.1869789383286198,"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."}}