{"id":"W2379051205","doi":"","title":"Advance of Fire Risk and Property Loss Assessment Technology","year":2006,"lang":"en","type":"article","venue":"Zhongguo anquan kexue xuebao","topic":"Evaluation Methods in Various Fields","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fire protection; Fire safety; Risk assessment; Property insurance; Forensic engineering; Engineering; Environmental science; Risk analysis (engineering); Civil engineering; Computer science; Business; Actuarial 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":[],"consensus_categories":[],"category_scores_codex":[0.0007298021,0.0001649923,0.0002369946,0.00005749256,0.0001590352,0.00001867486,0.0002660883,0.0001715833,0.0008008005],"category_scores_gemma":[0.0001518294,0.0001250217,0.00004084074,0.0004108461,0.0005195251,0.0001823029,0.0002317779,0.0002841192,0.00006776175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009593581,"about_ca_system_score_gemma":0.00002329785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009565344,"about_ca_topic_score_gemma":0.0002853267,"domain_scores_codex":[0.9984363,0.0001646626,0.0003529503,0.0004148539,0.000355324,0.0002758527],"domain_scores_gemma":[0.9991317,0.0001102513,0.0002292364,0.0004554139,0.00002280289,0.0000505482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001722277,0.0001900187,0.8707847,0.00003213919,0.00001258439,0.00001739104,0.0001268421,0.002763205,0.01024074,0.003203546,0.001968252,0.1106433],"study_design_scores_gemma":[0.001852304,0.0006855521,0.779803,0.00009123269,0.0001111766,0.0001082289,0.0003317472,0.02220788,0.02897506,0.08782239,0.07707128,0.0009401743],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509114,0.0002291369,0.02374734,0.0007798601,0.0001411079,0.0003999656,0.0000150134,0.0001035296,0.02367265],"genre_scores_gemma":[0.8606088,0.00008382531,0.1363904,0.00005737553,0.00003216862,0.00003241149,0.000003890611,0.00001782822,0.002773388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.112643,"threshold_uncertainty_score":0.8768204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009772901114153625,"score_gpt":0.295473456375508,"score_spread":0.2857005552613543,"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."}}