{"id":"W7143931610","doi":"10.20561/00049856","title":"カナダ小麦ボード（CWB）改革による穀物流通の変化","year":2014,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Western Grains Research Foundation; U.S. Department of Agriculture","keywords":"","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005659197,0.000388894,0.000577661,0.004423921,0.002256333,0.007896201,0.001357039,0.001154251,0.02272796],"category_scores_gemma":[0.01411911,0.0005932596,0.0003751567,0.007079264,0.001911941,0.009198134,0.001610709,0.001498918,0.01345386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002279226,"about_ca_system_score_gemma":0.005690672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01855754,"about_ca_topic_score_gemma":0.01433149,"domain_scores_codex":[0.9948673,0.0009353567,0.000664872,0.0009723764,0.002163958,0.0003961312],"domain_scores_gemma":[0.9833323,0.003608198,0.001454702,0.004334734,0.006290562,0.0009794802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006012987,0.0003651469,0.02581497,0.00085529,0.00009569347,0.0003389285,0.002306101,0.001035404,0.02103285,0.2286913,0.1936335,0.5252295],"study_design_scores_gemma":[0.00008637859,0.0001102968,0.02003604,0.000331542,0.0001638809,0.0008043239,0.001994131,0.006037416,0.04588436,0.0588924,0.8654542,0.0002049164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1220912,0.004496522,0.3210952,0.01065382,0.001911484,0.001388232,0.03486268,0.01558511,0.4879158],"genre_scores_gemma":[0.5606988,0.003090108,0.2754838,0.003017629,0.0008853138,0.0009008739,0.03406979,0.002829711,0.1190239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9814425,"threshold_uncertainty_score":0.07603264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075136324441258,"score_gpt":0.2221802499199862,"score_spread":0.2114288866755736,"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."}}