{"id":"W630941500","doi":"","title":"ユネスコWAT_Montreal 2011 への参加を通した環境デザイン国際教育プログラムの構築と国際都市間連携の実施方法に関する研究","year":2012,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005539681,0.0008702917,0.0006891142,0.0003236739,0.001118841,0.000154594,0.0007659564,0.0007513705,0.0009015227],"category_scores_gemma":[0.0002735076,0.0009039586,0.0002875027,0.0004441111,0.001119259,0.003299442,0.0004133395,0.001252807,0.001909478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000538963,"about_ca_system_score_gemma":0.0003908651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00182587,"about_ca_topic_score_gemma":0.000298288,"domain_scores_codex":[0.9957381,0.0001268677,0.001041019,0.0007414976,0.0008311619,0.001521364],"domain_scores_gemma":[0.997272,0.0002497355,0.0001665371,0.001501379,0.0002215986,0.0005887834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002764137,0.0007351874,0.01838897,0.0006604673,0.0008738996,0.0007427307,0.001316878,0.001368823,0.006560235,0.9164909,0.05094952,0.001636014],"study_design_scores_gemma":[0.003235688,0.0004747385,0.05065636,0.001271895,0.001125691,0.00425873,0.002731583,0.002797499,0.02250309,0.006007006,0.9002881,0.004649614],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3311203,0.1112638,0.01055274,0.00138861,0.05346246,0.001467218,0.006493883,0.003442349,0.4808086],"genre_scores_gemma":[0.9860518,0.001654919,0.004086541,0.0001049274,0.004660783,0.00009917849,0.001396707,0.00007819769,0.00186693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9104838,"threshold_uncertainty_score":0.9993411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495966874090243,"score_gpt":0.2293624295735493,"score_spread":0.2144027608326468,"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."}}