{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001643928,0.0007328137,0.000693246,0.001900626,0.0003440516,0.001945579,0.001010773,0.0008013189,0.00318884],"category_scores_gemma":[0.004075638,0.0002693854,0.0006586579,0.001157298,0.0006350602,0.003388134,0.001006511,0.001107625,0.001157265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008651394,"about_ca_system_score_gemma":0.0009275454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001469962,"about_ca_topic_score_gemma":0.0007476149,"domain_scores_codex":[0.9982962,0.0004919839,0.0000882298,0.0002355138,0.0008270701,0.00006100035],"domain_scores_gemma":[0.9988263,0.0005276991,0.00008632874,0.0001479126,0.0003765729,0.00003513728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007876307,0.00009155586,0.003862847,0.0005863989,0.00007210473,0.0002205332,0.0002958645,0.05423084,0.01181008,0.1869098,0.00425263,0.7375886],"study_design_scores_gemma":[0.0000228229,0.0002760459,0.006448559,0.0002793781,0.0001027493,0.001003694,0.000327566,0.605915,0.02278039,0.2509294,0.1117818,0.0001325357],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01278869,0.008973004,0.9437175,0.0006648165,0.0001492017,0.00008082811,0.0001264998,0.0005330201,0.03296647],"genre_scores_gemma":[0.5497637,0.01990641,0.4046655,0.0003208396,0.0004471305,0.0003085493,0.0004032871,0.0001822668,0.02400224],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00318884,"threshold_uncertainty_score":0.01066774,"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."}}