{"id":"W7071485280","doi":"","title":"Spreading like Wildfire: The Rising Threat of Extraordinary Landscape Fires","year":2022,"lang":"en","type":"other","venue":"QUT ePrints (Queensland University of Technology)","topic":"","field":"","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globe; Government (linguistics); Stock (firearms); Ecosystem; Scale (ratio)","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":[],"category_scores_codex":[0.000348063,0.0004583317,0.0008723093,0.00159341,0.000318778,0.000009092907,0.001963267,0.0007851983,0.008558428],"category_scores_gemma":[0.00006205926,0.0004329818,0.000298989,0.001111594,0.00114839,0.00007338708,0.001509216,0.0009783064,0.0002997536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001622717,"about_ca_system_score_gemma":0.0001230238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002430192,"about_ca_topic_score_gemma":0.0007008274,"domain_scores_codex":[0.9979438,0.000131673,0.0002871985,0.0007246156,0.0004477296,0.0004650175],"domain_scores_gemma":[0.9972693,0.0001065506,0.0008930238,0.001621517,0.00004615496,0.00006339505],"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":[0.0002976753,0.0003177865,0.2649387,0.000226482,0.001189057,0.0003918239,0.0005452915,0.00002531076,0.0009983755,0.001753104,0.717825,0.01149142],"study_design_scores_gemma":[0.001360606,0.0001553277,0.01391961,0.0005016399,0.0004877388,0.00007042462,0.003574363,0.0000533616,0.0003292504,0.001006778,0.9779341,0.000606757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2120572,0.00421828,0.0001185663,0.001260945,0.0003972246,0.00128322,0.0007811476,0.001987137,0.7778963],"genre_scores_gemma":[0.5916113,0.002410926,0.004310566,0.00003416472,0.000125701,0.000004942542,0.0001967742,0.00117256,0.400133],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3795541,"threshold_uncertainty_score":0.9998122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008292850197908853,"score_gpt":0.2039451842664047,"score_spread":0.1956523340684958,"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."}}