{"id":"W398901096","doi":"","title":"クローズアップテレトピア 札幌市における少額決済カード「S.M.A.P.カード」の実証実験--市営地下鉄乗車を中心に","year":2001,"lang":"ja","type":"article","venue":"Theory and applications of categories","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005937031,0.0003451011,0.0004450635,0.0002066374,0.0003109783,0.00003732009,0.0004323663,0.0003630538,0.0004509562],"category_scores_gemma":[0.00004145405,0.000350338,0.00009470018,0.0005298787,0.001144565,0.0002696471,0.0000958031,0.0003757156,0.00008962399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001997269,"about_ca_system_score_gemma":0.00004163442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003052549,"about_ca_topic_score_gemma":0.00001879204,"domain_scores_codex":[0.9985208,0.00009709556,0.0005070724,0.0003617453,0.0001329081,0.0003803729],"domain_scores_gemma":[0.9985733,0.0003526837,0.0001074111,0.0007673589,0.00009898283,0.0001002729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001179093,0.00007879693,0.0003113427,0.0002609411,0.0001423015,0.00000417162,0.001176409,0.0002163755,0.001299038,0.9701049,0.0002447007,0.02604307],"study_design_scores_gemma":[0.0003640142,0.0001093296,0.0009747131,0.00003845158,0.0001624171,0.00007027027,0.006203957,0.0001713795,0.003717927,0.9510298,0.03673243,0.0004253034],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4132835,0.08110072,0.09406479,0.0009989031,0.0004030785,0.001694102,0.0002570395,0.001364795,0.4068331],"genre_scores_gemma":[0.9870171,0.00963674,0.0003482137,0.00003388539,0.000165032,0.0001964128,0.00004090223,0.00003707509,0.002524622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5737336,"threshold_uncertainty_score":0.9998949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006516645064496537,"score_gpt":0.2213629092652922,"score_spread":0.2148462642007956,"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."}}