{"id":"W4385065444","doi":"10.1007/s41324-023-00540-2","title":"Spatio-temporal analysis of fire incidences in urban context: the case study of Mashhad, Iran","year":2023,"lang":"en","type":"article","venue":"Spatial Information Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Geography; Context (archaeology); Functional illiteracy; Population; Firefighting; Cartography; Socioeconomics; Demography; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0005178484,0.0001886754,0.0001972952,0.002111217,0.0005966335,0.0006821693,0.0005585787,0.0003179574,0.0008874358],"category_scores_gemma":[0.001084705,0.0001274748,0.0003689535,0.003063877,0.0003875229,0.0004481321,0.0004186903,0.00030202,0.00009312391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001755109,"about_ca_system_score_gemma":0.0009811611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1190833,"about_ca_topic_score_gemma":0.195258,"domain_scores_codex":[0.9997168,0.00006172564,0.00001667526,0.00003905407,0.00007062741,0.00009507484],"domain_scores_gemma":[0.9993815,0.0001970388,0.0001730687,0.00003352521,0.0001568378,0.00005800359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001185869,0.0002066879,0.9696993,0.00006480666,0.0001075525,0.002437315,0.00288805,0.005089622,0.0009234021,0.0008888295,0.0007722604,0.01680353],"study_design_scores_gemma":[0.000005486213,0.00007729121,0.9747325,0.00001535561,0.0000649731,0.0005648809,0.01335211,0.009206888,0.0003280928,0.0001824652,0.001454257,0.00001576876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988262,0.00008112046,0.0001899152,0.00005639466,0.000003543804,0.000008948326,0.000243442,0.000004805836,0.0005855786],"genre_scores_gemma":[0.9992108,0.00008524633,0.0003392891,0.000005062654,0.000004841477,0.000004810062,0.0001698235,0.000001319412,0.0001786837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1190833,"threshold_uncertainty_score":0.2367804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05031553678289926,"score_gpt":0.342538180452736,"score_spread":0.2922226436698367,"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."}}