{"id":"W430807735","doi":"","title":"クローズアップテレトピア 「市民が創る、にぎわいと風格のある街・IT都市金沢」の実現をめざして","year":2004,"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":[0.0004462139,0.0003071322,0.0003891002,0.0001685028,0.0002847483,0.00003025379,0.0003727009,0.0003189191,0.0001449803],"category_scores_gemma":[0.00003905569,0.0003138725,0.00008414941,0.0004144145,0.001198882,0.0002323439,0.0000852489,0.0003490472,0.00007382266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003068333,"about_ca_system_score_gemma":0.00007126467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000469587,"about_ca_topic_score_gemma":0.00002041252,"domain_scores_codex":[0.9987462,0.00005220117,0.0004399329,0.0003220128,0.0001163845,0.0003232781],"domain_scores_gemma":[0.9988697,0.0002043495,0.00009063074,0.0006650948,0.00008475094,0.0000855311],"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":[0.00005725057,0.00008379606,0.00006029341,0.0003383596,0.0001219064,0.000001865493,0.001674287,0.001123619,0.001449761,0.9869338,0.00005288354,0.008102177],"study_design_scores_gemma":[0.0004220413,0.00009070371,0.0004375723,0.00004587103,0.0001169436,0.00002180559,0.006561979,0.00002057557,0.01411693,0.9719932,0.005857138,0.0003152282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4137174,0.09043804,0.2273072,0.001958394,0.0004711389,0.00214705,0.0003972905,0.001632115,0.2619314],"genre_scores_gemma":[0.995622,0.002428798,0.0009143505,0.00003087987,0.0001253707,0.0001842458,0.00003311584,0.0000322656,0.0006290065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5819045,"threshold_uncertainty_score":0.9999313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005445367398700714,"score_gpt":0.2156628950971795,"score_spread":0.2102175276984788,"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."}}