{"id":"W2155046355","doi":"10.1007/s10651-007-0082-4","title":"Multi-parameter renewal processes and simulation of forest fires","year":2008,"lang":"en","type":"article","venue":"Environmental and Ecological Statistics","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Point process; Renewal theory; Jump; Poisson distribution; Property (philosophy); Basis (linear algebra); Mathematics; Statistical physics; Poisson process; Econometrics; Computer science; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002529221,0.0003941221,0.0007403737,0.0009077827,0.0006173907,0.001093782,0.001284097,0.001846308,0.001154257],"category_scores_gemma":[0.01364306,0.0007734752,0.0006945347,0.001043192,0.001163573,0.001769855,0.0006783585,0.001220492,0.00009469665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001331638,"about_ca_system_score_gemma":0.0007378152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01720515,"about_ca_topic_score_gemma":0.01247496,"domain_scores_codex":[0.9996005,0.0001941249,0.00002577575,0.0000561177,0.00006493887,0.0000586535],"domain_scores_gemma":[0.991863,0.006759158,0.0004710889,0.0003000304,0.0002921071,0.0003146313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002608491,0.00001692344,0.001306576,0.000004594478,0.000008792065,0.00001733735,0.00001685473,0.9933028,0.00008488724,0.004299953,0.00007412397,0.0008410617],"study_design_scores_gemma":[0.000003125846,0.000001749749,0.0001349342,7.127112e-7,0.000001519017,0.000002490583,0.000002472163,0.9983521,0.00004230147,0.001434544,0.00002299656,0.000001239016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8505002,0.0004696318,0.1446631,0.0007557236,0.00006906252,0.00003483419,0.0002966963,0.0002574396,0.002953192],"genre_scores_gemma":[0.9915705,0.0001096609,0.007408279,0.00002757254,0.00001775822,0.0000251835,0.0001254718,0.00003052794,0.0006850825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01720515,"threshold_uncertainty_score":0.03421003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151723979604801,"score_gpt":0.2172060384283095,"score_spread":0.2020336404678294,"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."}}