{"id":"W2299217262","doi":"","title":"조류 유리충돌 방지를 위한 디자인 개선방안에 관한 고찰","year":2013,"lang":"ko","type":"article","venue":"한국농촌건축학회 논문집","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collision; Window (computing); Geography; Architectural engineering; Engineering; Computer science; Computer security","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":["insufficient_payload"],"category_scores_codex":[0.0002112742,0.0004734677,0.0005742604,0.0002676437,0.0001934221,0.0001908181,0.0003773459,0.0003317241,0.02058958],"category_scores_gemma":[0.00004922473,0.0004906557,0.0004453096,0.0007704516,0.00008369583,0.0007888152,0.00002391369,0.0004790685,0.01604504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113513,"about_ca_system_score_gemma":0.00006038974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072544,"about_ca_topic_score_gemma":0.0001848416,"domain_scores_codex":[0.9975552,0.00006118904,0.0007435894,0.0004075029,0.000449203,0.000783306],"domain_scores_gemma":[0.9984909,0.0001270572,0.0001254407,0.0006715977,0.0001535116,0.0004315382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002446079,0.001525287,0.2130057,0.002929545,0.009186652,0.0003237441,0.03947196,0.1789887,0.05481333,0.02783201,0.1355861,0.3360924],"study_design_scores_gemma":[0.002476383,0.0002198074,0.8417166,0.0003338394,0.001196573,0.00001951877,0.001750898,0.04404604,0.005286405,0.003491046,0.09714183,0.002321071],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8909746,0.003884239,0.06405392,0.006086431,0.002658781,0.001027825,0.0003237586,0.001235166,0.02975525],"genre_scores_gemma":[0.9904568,0.0006327447,0.00116985,0.000446609,0.0004598912,0.000036391,0.0001500599,0.0001023111,0.00654539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6287109,"threshold_uncertainty_score":0.9997545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006513049197911765,"score_gpt":0.1984425562308644,"score_spread":0.1919295070329526,"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."}}