{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004565204,0.0001103601,0.000212264,0.00008200493,0.00005535886,0.000005129304,0.00005591795,0.00007978944,0.00006749459],"category_scores_gemma":[0.000102714,0.0001171267,0.00001871684,0.0002368988,0.000143214,0.00006347289,0.00001450833,0.0002648347,0.000002631933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004322919,"about_ca_system_score_gemma":0.0003393058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.35602,"about_ca_topic_score_gemma":0.4184339,"domain_scores_codex":[0.9985337,0.00002579114,0.0004990424,0.0002011557,0.0004364914,0.0003038556],"domain_scores_gemma":[0.9993767,0.00006689411,0.00004858497,0.0002807511,0.0001277201,0.00009932437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001380406,0.00004025658,0.9431938,0.0002268816,0.00002455745,0.01128646,0.0001417082,0.002846729,0.0003967784,0.0006192709,0.04090659,0.0003031445],"study_design_scores_gemma":[0.0003390242,0.00003062671,0.9608063,0.00009367717,0.00001377669,0.002383795,0.00005950816,0.004230644,0.001937517,0.0003375016,0.02947904,0.0002886369],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928438,0.001227932,0.002437031,0.00003284801,0.0004097483,0.0001863172,0.00006162199,0.00005895974,0.00274171],"genre_scores_gemma":[0.9987636,0.0006497563,0.0001845496,0.000007851242,0.00004019164,0.000008736987,0.0001619338,0.00001698376,0.0001664431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0624139,"threshold_uncertainty_score":0.6482683,"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."}}