{"id":"W6887649286","doi":"10.17605/osf.io/be97t","title":"100-yr wildfire probability assessment for a powerline adapted for caribou conservation","year":2021,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Hydroelectricity; Wildlife; Taiga; Boreal; Wildlife conservation","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":[0.0006993994,0.0002807592,0.0001520311,0.0004735764,0.0002111136,0.0003479646,0.0003140871,0.0002847863,0.001297478],"category_scores_gemma":[0.002057145,0.000103062,0.0002796356,0.0003587421,0.00009750867,0.0002795641,0.0001800924,0.0002424297,0.0001614046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009705737,"about_ca_system_score_gemma":0.0005736087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1529428,"about_ca_topic_score_gemma":0.2957456,"domain_scores_codex":[0.9998661,0.00003151545,0.000006576535,0.00003753304,0.00003506223,0.00002323094],"domain_scores_gemma":[0.9992651,0.0002334617,0.0001378705,0.00007454985,0.000209026,0.00007996307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004565814,0.0001582678,0.7214454,0.00006017183,0.0003136757,0.000245783,0.0001612121,0.2441623,0.003682314,0.0004685432,0.001893427,0.02695249],"study_design_scores_gemma":[0.00002534106,0.0003805173,0.6237961,0.00002670859,0.0001257674,0.0002254109,0.0003040237,0.371159,0.001572363,0.0004391563,0.001914333,0.00003131696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931075,0.0000935065,0.004143591,0.00002640306,0.000005162593,0.00001921345,0.001554744,0.00007394089,0.000975841],"genre_scores_gemma":[0.996832,0.00003713474,0.001388289,0.000007020751,0.000001710324,0.000009196737,0.001317299,0.000008469489,0.0003990239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8470572,"threshold_uncertainty_score":0.3041052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673061733082464,"score_gpt":0.2662946936048501,"score_spread":0.2495640762740254,"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."}}