{"id":"W6907408972","doi":"10.18739/a2j38kk58","title":"Post-fire carbon and energy flux and meteorological data from Scotty Creek, Northwest Territories from 2023-2024","year":2025,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Permafrost; Ecosystem; Eddy covariance; Arctic; Climate change; Carbon flux; Taiga; Boreal; Carbon cycle","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00009846929,0.001381784,0.001631151,0.0002999081,0.0002276401,0.00394613,0.002563239,0.001306706,0.000937899],"category_scores_gemma":[0.0005815818,0.001291945,0.0001690996,0.0005207236,0.0009997931,0.002927536,0.01006781,0.001096209,0.0004302156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006132718,"about_ca_system_score_gemma":0.0005703127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03564548,"about_ca_topic_score_gemma":0.008739032,"domain_scores_codex":[0.9941748,0.0002434371,0.001078871,0.002904081,0.0007376213,0.000861197],"domain_scores_gemma":[0.9940866,0.001231325,0.0004186692,0.003419482,0.00005740884,0.0007864986],"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":[0.0004204675,0.0001903886,0.01879427,0.0001241756,0.0005745339,0.0006881419,0.000003550965,2.421892e-7,0.00001759387,0.000004140241,0.9770978,0.002084713],"study_design_scores_gemma":[0.0006878281,0.0001474493,0.002404949,0.000388348,0.0005711335,0.00002594299,0.00004380667,0.0001612969,0.00002611463,0.001035172,0.9932238,0.001284105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01720272,0.01289369,6.904332e-7,0.0002421271,0.001004916,0.0002574902,0.9671495,0.0004233426,0.0008255272],"genre_scores_gemma":[0.0009811932,0.000748076,0.0001458758,0.0008565174,0.001960132,0.0000528957,0.9939069,0.0001744187,0.001173948],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02690645,"threshold_uncertainty_score":0.9999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219773808934034,"score_gpt":0.2148229161033319,"score_spread":0.2026251780139916,"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."}}