{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001979729,0.0001147517,0.0000791757,0.0003258158,0.0003201374,0.0003299979,0.00009489136,0.0001317599,0.00259362],"category_scores_gemma":[0.0001472795,0.00007912831,0.00008881527,0.0002288202,0.0003146872,0.0001955684,0.0001690341,0.0001873237,0.001034744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003780617,"about_ca_system_score_gemma":0.0001980746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002848379,"about_ca_topic_score_gemma":0.004341887,"domain_scores_codex":[0.9998807,0.00001591755,0.00000827541,0.00003987614,0.00003578455,0.00001956449],"domain_scores_gemma":[0.9998914,0.00001465234,0.00002977837,0.00000927782,0.00003536222,0.00001942254],"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":[0.0003313759,0.0000720895,0.06395825,0.0001154623,0.00003803345,0.0003869103,0.0007632922,0.0002749388,0.8391034,0.002520538,0.0004780968,0.09195766],"study_design_scores_gemma":[0.00002124539,0.0007955235,0.5880234,0.00006807309,0.00006910289,0.002523159,0.0009417206,0.00223971,0.3636274,0.002387492,0.03926306,0.00004011259],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848955,0.00103882,0.003226664,0.000107194,0.00002126056,0.00003119601,0.0003470838,0.00005352791,0.01027871],"genre_scores_gemma":[0.990175,0.0003446133,0.003900496,0.00003143255,0.00001095183,0.00001941146,0.0004592058,0.000008746953,0.005050146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002848379,"threshold_uncertainty_score":0.008676469,"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."}}