{"id":"W3040375739","doi":"10.1016/j.jnlssr.2020.06.010","title":"A review of post-incident studies for wildland-urban interface fires","year":2020,"lang":"en","type":"review","venue":"Journal of Safety Science and Resilience","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Institute of Standards and Technology","keywords":"Wildland–urban interface; Software deployment; Context (archaeology); Data collection; Environmental resource management; Computer science; Environmental science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004003175,0.0003385772,0.002098348,0.0001478641,0.0002456169,0.0000389773,0.001435401,0.00008311236,0.00002744006],"category_scores_gemma":[0.004527992,0.0002043746,0.0003743605,0.001132065,0.001640765,0.0006598364,0.0005557729,0.0003228714,0.0000196157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004938996,"about_ca_system_score_gemma":0.0005309656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000264577,"about_ca_topic_score_gemma":0.00001032668,"domain_scores_codex":[0.9961969,0.000165665,0.001581736,0.0004912133,0.001199932,0.0003645057],"domain_scores_gemma":[0.996119,0.0007183333,0.002264667,0.0003199554,0.000307433,0.0002705653],"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":[0.00003299303,0.00003679328,0.00007121737,0.06880672,0.00005712207,0.00002047474,0.0004376645,0.000008382252,0.0001319712,0.000008438508,0.007978532,0.9224097],"study_design_scores_gemma":[0.0001338767,0.0007316965,0.0001264364,0.1406087,0.0002817789,0.0003380677,0.0001286836,0.00005629898,0.00002093549,0.00001212436,0.857336,0.0002254348],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001744676,0.9975125,0.00007334979,0.0005861871,0.0005250673,0.00100462,0.00002627704,0.000005928453,0.00009156644],"genre_scores_gemma":[0.0004699428,0.9985703,0.0004769644,0.0003040816,0.0001048689,0.00001417928,5.192128e-7,0.00001491892,0.00004426113],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9221842,"threshold_uncertainty_score":0.8334156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02115683622502654,"score_gpt":0.3314570921229287,"score_spread":0.3103002558979021,"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."}}