{"id":"W6967971758","doi":"10.5281/zenodo.12709398","title":"bkabyrne/2023CanadaFires: v1.0.0","year":2024,"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":"","funders":"","keywords":"Python (programming language); Code (set theory); Source code; Scripting language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001623017,0.003181694,0.001909353,0.00178569,0.001445624,0.003416188,0.005818191,0.001706468,0.1872371],"category_scores_gemma":[0.003887194,0.00177838,0.002298695,0.00175961,0.001093105,0.003293962,0.004384545,0.003978049,0.2511005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507339,"about_ca_system_score_gemma":0.00282969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03082505,"about_ca_topic_score_gemma":0.03431808,"domain_scores_codex":[0.9990472,0.0001050523,0.00004312917,0.0001963043,0.0004124433,0.000195843],"domain_scores_gemma":[0.9989339,0.0001780381,0.00005336148,0.0002865036,0.0003708916,0.0001772555],"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":[0.0001378385,0.00003689645,0.000448062,0.0004886976,0.00005656142,0.00004054764,0.00007295716,0.002544648,0.0009453896,0.002946786,0.9800249,0.01225685],"study_design_scores_gemma":[0.0002200548,0.00002658017,0.001209051,0.0001876901,0.00003817803,0.00009027226,0.00006756626,0.0223438,0.007810767,0.01312707,0.9546836,0.0001952313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"dataset","genre_scores_codex":[0.0009965731,0.0002648882,0.03906604,0.0002834301,0.0003879309,0.0001285125,0.243825,0.6913194,0.02372819],"genre_scores_gemma":[0.01248907,0.0004077293,0.04655828,0.0007179677,0.00009028942,0.0006463854,0.4504454,0.4674292,0.02121576],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9691749,"threshold_uncertainty_score":0.6263706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03330143543469153,"score_gpt":0.2529048929065033,"score_spread":0.2196034574718117,"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."}}