{"id":"W354067824","doi":"","title":"クローズアップ テレトピア 蒲郡市テレトピア 蒲郡市における\"情報化の新しい試み\"科学館とe-turism","year":2000,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000522566,0.0003683536,0.0004662304,0.0001578143,0.0003399717,0.00003933861,0.0004515433,0.0004190815,0.001848815],"category_scores_gemma":[0.00002061027,0.0003707943,0.0001040182,0.0004178633,0.001219545,0.0002678157,0.00005384113,0.0004361354,0.0001968793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001814278,"about_ca_system_score_gemma":0.00004097254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004053107,"about_ca_topic_score_gemma":0.0000115791,"domain_scores_codex":[0.9984568,0.0001081975,0.0005234063,0.0003887212,0.0001365721,0.0003862736],"domain_scores_gemma":[0.9986201,0.0003236115,0.00007874164,0.000808418,0.00006695512,0.0001022],"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":[0.000116547,0.00008457684,0.00005070334,0.0002679758,0.0001436291,0.000002196235,0.001664801,0.000492952,0.0006600623,0.9179855,0.0004152757,0.07811577],"study_design_scores_gemma":[0.0003686388,0.00009883589,0.0007271211,0.00003975823,0.0001628767,0.00002732089,0.003509233,0.0001203766,0.004935679,0.933314,0.05626511,0.0004311022],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4801744,0.05985564,0.01000691,0.0008447645,0.0001941825,0.001279072,0.0003052173,0.001014951,0.4463249],"genre_scores_gemma":[0.9857305,0.007471415,0.0003523319,0.00004263249,0.0001691058,0.000220768,0.000051438,0.00003996556,0.00592185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5055562,"threshold_uncertainty_score":0.9998744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004462865310630066,"score_gpt":0.2094698012850982,"score_spread":0.2050069359744682,"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."}}