{"id":"W6949596873","doi":"10.5281/zenodo.15604809","title":"firelab/windninja: 3.12.1","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Work (physics); Fire investigation; Matching (statistics)","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":[0.0006740459,0.001441147,0.0009532452,0.0007145784,0.0004865716,0.001153969,0.002698797,0.001517897,0.06861576],"category_scores_gemma":[0.001127808,0.0008179897,0.0009292393,0.000753183,0.0003158163,0.001475622,0.0008582461,0.001868711,0.02961966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007505621,"about_ca_system_score_gemma":0.0009287268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01332614,"about_ca_topic_score_gemma":0.01507802,"domain_scores_codex":[0.9997198,0.00004669942,0.00001253679,0.00004591451,0.0001367837,0.00003826377],"domain_scores_gemma":[0.999574,0.00006983741,0.00003706244,0.0001035461,0.0001381333,0.00007741438],"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":[0.0009018801,0.0002861376,0.003612244,0.0007063085,0.0001552285,0.0003007097,0.0001571345,0.2814828,0.01478943,0.01894976,0.6108742,0.06778409],"study_design_scores_gemma":[0.0005283006,0.00008644869,0.001275611,0.00007415548,0.00004806975,0.000123419,0.00002404518,0.7576845,0.01111737,0.005582096,0.2233766,0.00007938888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.0236071,0.0006837189,0.4239524,0.0008058125,0.0009440593,0.0006067826,0.1521447,0.2047259,0.1925295],"genre_scores_gemma":[0.2734126,0.0006708115,0.2161224,0.0005278396,0.000283346,0.001601257,0.2807583,0.06751812,0.1591053],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06861576,"threshold_uncertainty_score":0.2295426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02737377839705879,"score_gpt":0.2467922893945607,"score_spread":0.219418510997502,"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."}}