{"id":"W21954614","doi":"","title":"海外事例 テスコとユークロップス--「低価格路線」脱出の鍵は上位顧客の狙い撃ち! (顧客データを売場に生かす)","year":2010,"lang":"en","type":"article","venue":"販売革新","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.0002599999,0.0001754754,0.0001368976,0.00004842516,0.0001154049,0.00003620199,0.0004678438,0.0002367044,0.000296636],"category_scores_gemma":[0.0003108577,0.0001657343,0.0000985538,0.000123558,0.0002126166,0.000006562213,0.0002834913,0.0003779944,0.0003434598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001054567,"about_ca_system_score_gemma":0.0001013006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001093559,"about_ca_topic_score_gemma":0.0001375655,"domain_scores_codex":[0.9986121,0.00003923739,0.0001787052,0.0004539429,0.0002541487,0.0004618638],"domain_scores_gemma":[0.9988498,0.00002711218,0.00005234023,0.0007818571,0.0001163665,0.0001724962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004495383,0.00007125716,0.006821953,0.00001727592,0.00003218494,0.00001384258,0.00002408712,0.00001130055,0.9652799,0.001268465,0.01577574,0.01063901],"study_design_scores_gemma":[0.0004021474,0.0001506842,0.001589499,0.000005267617,0.000006709792,0.00004670845,0.0000275676,0.00004371639,0.2977581,0.0007687736,0.6989422,0.0002585757],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398045,0.0008998384,0.002185118,0.0005984624,0.001051617,0.0002801804,0.00002365776,0.00005943753,0.05509719],"genre_scores_gemma":[0.9847417,0.0001567658,0.004814974,0.0003135587,0.001012447,0.00003738995,0.00007161648,0.00004782345,0.008803708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6831665,"threshold_uncertainty_score":0.6758447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006651243327981463,"score_gpt":0.3248911195335724,"score_spread":0.318239876205591,"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."}}