{"id":"W22114923","doi":"10.1177/070674371105601107","title":"40076 品川区における環境モニタリングシステムを活用した環境教育・環境啓発に関する研究(省エネ・環境配慮行動(2),環境工学I)","year":2008,"lang":"ja","type":"article","venue":"学術講演梗概集. D-1, 環境工学I, 室内音響・音環境, 騒音・固体音, 環境振動, 光・色, 給排水・水環境, 都市設備・環境管理, 環境心理生理, 環境設計, 電磁環境","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007716792,0.0002465401,0.0002980553,0.0007992198,0.000658619,0.001133793,0.0002980585,0.0006173222,0.0227772],"category_scores_gemma":[0.001163729,0.0002157405,0.0003360736,0.0007429767,0.001040568,0.0005203578,0.0003562424,0.0007062161,0.004014402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009026363,"about_ca_system_score_gemma":0.0005678356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003895403,"about_ca_topic_score_gemma":0.006209417,"domain_scores_codex":[0.9995709,0.00009920474,0.00004395513,0.00009028052,0.0001450942,0.00005048746],"domain_scores_gemma":[0.999132,0.000214983,0.000274774,0.00006225531,0.0001644036,0.0001516811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001959265,0.001211273,0.5912914,0.0006802026,0.0005691694,0.002162807,0.001143569,0.0004085532,0.02749221,0.005767852,0.01132755,0.3559861],"study_design_scores_gemma":[0.0002635934,0.002089855,0.8506169,0.000524193,0.0004506728,0.01487986,0.001969991,0.0007448299,0.03379508,0.009157713,0.08541898,0.00008827503],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8894951,0.01599832,0.001359231,0.002555984,0.0003683285,0.00009311422,0.00133174,0.00007679298,0.08872139],"genre_scores_gemma":[0.974138,0.005321841,0.001547716,0.0006498102,0.0002518186,0.00005362305,0.0009929464,0.00001612671,0.01702827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0227772,"threshold_uncertainty_score":0.07619733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04168264220886493,"score_gpt":0.2951061172074921,"score_spread":0.2534234749986272,"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."}}