{"id":"W18788896","doi":"10.1897/08-054.1","title":"7399 弘前市における遊びと遊び環境の実態に関する研究(コミュニティ・ハウジング,都市計画)","year":2003,"lang":"en","type":"article","venue":"学術講演梗概集. F-1, 都市計画, 建築経済・住宅問題","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005671935,0.0002622603,0.0001894165,0.0003443535,0.0008785274,0.0005500336,0.0001632659,0.0003044202,0.006494472],"category_scores_gemma":[0.0002411801,0.0002088552,0.0001948016,0.0003658754,0.0003998503,0.0002254866,0.0001976807,0.0002651643,0.003653736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008250885,"about_ca_system_score_gemma":0.0005993622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01937594,"about_ca_topic_score_gemma":0.05865783,"domain_scores_codex":[0.9997262,0.00002493784,0.00002889989,0.00006120837,0.0001203761,0.0000384516],"domain_scores_gemma":[0.999801,0.0000231154,0.00003598486,0.00001576048,0.00009072479,0.00003343351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00121551,0.0002242926,0.1095364,0.0003935887,0.000187851,0.0007631434,0.0005628164,0.0007358046,0.6662855,0.001034657,0.00373811,0.2153224],"study_design_scores_gemma":[0.0000565533,0.001515137,0.4245009,0.0001211049,0.0002900699,0.003141131,0.0008324368,0.002618588,0.4626677,0.0005531685,0.1036287,0.0000745903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526319,0.0101467,0.005665496,0.0001920519,0.00009418475,0.00008997325,0.00101402,0.0002130139,0.02995265],"genre_scores_gemma":[0.9405882,0.006126352,0.01159994,0.0002376738,0.00007300179,0.00006893108,0.002910551,0.00003705133,0.03835823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01937594,"threshold_uncertainty_score":0.0385263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766532404219511,"score_gpt":0.2510921580752181,"score_spread":0.233426834033023,"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."}}