{"id":"W7071319794","doi":"","title":"Simulation numérique de feux de forêt avec\\nréinitialisation et contournement dâobstacles","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Point (geometry); Motion study","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005018694,0.0006185695,0.0005711516,0.0004043074,0.0007631966,0.001474488,0.000996867,0.001286634,0.005843428],"category_scores_gemma":[0.002071528,0.0004937718,0.0007626878,0.0004934897,0.0009382469,0.000878771,0.0007406538,0.001016781,0.0007764402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659791,"about_ca_system_score_gemma":0.001906971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02386536,"about_ca_topic_score_gemma":0.02145125,"domain_scores_codex":[0.9997746,0.00003408426,0.00001070516,0.00003411619,0.0001110129,0.00003547232],"domain_scores_gemma":[0.9993079,0.0003698029,0.00004913455,0.00008255748,0.000154174,0.0000365415],"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":[0.00008644895,0.00003643031,0.001467136,0.0001091191,0.00001570759,0.0001139508,0.0002688282,0.9634877,0.009473749,0.009966368,0.0009025489,0.01407203],"study_design_scores_gemma":[0.0000107216,0.00001977381,0.0002889084,0.00001151992,0.000004181664,0.00002166094,0.00003130428,0.9909147,0.005184421,0.001025918,0.002478448,0.000008479763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3503352,0.0004750098,0.5996107,0.000798593,0.0002866964,0.0001841034,0.0007036538,0.002924595,0.04468149],"genre_scores_gemma":[0.8113442,0.000536535,0.1600038,0.0001071618,0.00002714724,0.0002234453,0.0006705473,0.0007643837,0.02632268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02386536,"threshold_uncertainty_score":0.04745293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007486568743490725,"score_gpt":0.1805928597870644,"score_spread":0.1731062910435737,"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."}}