{"id":"W7036983695","doi":"","title":"Danielle Smith evades addressing Alberta wildfires and climate change","year":2023,"lang":"en","type":"other","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Effects of global warming; Climate system; Vegetation (pathology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001492729,0.0002772255,0.0002704873,0.0002821502,0.0000726342,0.0003085769,0.001004521,0.0002000041,0.0001202759],"category_scores_gemma":[0.00004407385,0.0002346684,0.00003459815,0.0002170393,0.00007439088,0.0003048746,0.001407903,0.0001317384,0.0001527713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001716418,"about_ca_system_score_gemma":0.0000208713,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007618155,"about_ca_topic_score_gemma":0.003708416,"domain_scores_codex":[0.9986008,0.00003575762,0.0001502352,0.0006472279,0.000203996,0.0003619531],"domain_scores_gemma":[0.9986843,0.0001336721,0.0001382055,0.0009524717,0.0000092472,0.0000821282],"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":[8.303847e-7,0.00001439753,0.0009097381,0.00008808741,0.00002361076,0.00002507424,0.0002849157,6.592118e-9,0.000003276373,0.01062363,0.8627056,0.1253208],"study_design_scores_gemma":[0.0002217028,0.0001200276,0.001968916,0.00323786,0.0000326267,0.00003542748,0.00003704721,0.002265443,0.0002140627,0.000679504,0.9902049,0.0009824754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001651546,0.001369675,0.004630887,0.0006514472,0.0004087511,0.0004268079,0.00007677145,0.007093408,0.9853258],"genre_scores_gemma":[0.0008820213,0.007024004,0.3027231,0.0008250126,0.000792258,0.0002520487,0.00004667546,0.001694737,0.6857601],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2995656,"threshold_uncertainty_score":0.9989902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06611452380772148,"score_gpt":0.3016107507429377,"score_spread":0.2354962269352162,"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."}}