{"id":"W4407711073","doi":"10.3390/proceedings2024110033","title":"Statement of Peer Review","year":2025,"lang":"en","type":"article","venue":"","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University; Queen's University","funders":"","keywords":"Statement (logic); Computer science; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2372345,0.004445998,0.01870746,0.01202834,0.01177782,0.06427811,0.01383566,0.04021831,0.1232738],"category_scores_gemma":[0.5765309,0.006158599,0.006997242,0.0116979,0.01427587,0.01686855,0.01289805,0.02987621,0.2511339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007671698,"about_ca_system_score_gemma":0.07864608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336,"about_ca_topic_score_gemma":0.003111108,"domain_scores_codex":[0.6725204,0.06068025,0.05793016,0.02586546,0.1681085,0.01489521],"domain_scores_gemma":[0.1217076,0.07112414,0.03340813,0.07538906,0.6676482,0.03072299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003492217,0.0001775928,0.0006329956,0.004998319,0.0004087792,0.0007295483,0.00158557,0.0001455219,0.00182391,0.01173878,0.9104961,0.06691372],"study_design_scores_gemma":[0.0003873696,0.0001146319,0.002215663,0.00602941,0.0001369961,0.0008516403,0.0007820738,0.0008145072,0.001385395,0.01133272,0.9756939,0.0002558192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.003689416,0.01616747,0.07927964,0.1467331,0.5570151,0.05278241,0.01485073,0.0111105,0.1183715],"genre_scores_gemma":[0.04458856,0.03281345,0.2323124,0.07295633,0.1689283,0.08782843,0.03687733,0.01436176,0.3093335],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2372345,"threshold_uncertainty_score":0.9406257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05428318021194128,"score_gpt":0.4412646868073584,"score_spread":0.3869815065954171,"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."}}