{"id":"W579083651","doi":"","title":"Kan nedbrytning av drunknade älgarpåverka ett vattendrags näringsbudget","year":2009,"lang":"sv","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics","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":[0.001627412,0.001078074,0.001133884,0.001704284,0.00300074,0.005872151,0.001137592,0.001656583,0.03747053],"category_scores_gemma":[0.001816595,0.000570347,0.001634084,0.002418379,0.001239733,0.003621603,0.002511479,0.002697871,0.01553497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002537341,"about_ca_system_score_gemma":0.00311363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01433212,"about_ca_topic_score_gemma":0.03746101,"domain_scores_codex":[0.9986169,0.0001911825,0.00008380254,0.0003522935,0.000572557,0.0001832197],"domain_scores_gemma":[0.9985898,0.0002390321,0.0001363425,0.0002216043,0.0006542409,0.0001590015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001520801,0.0007376212,0.02824648,0.006880295,0.0004789079,0.002385558,0.007452911,0.003262161,0.1532055,0.02536601,0.0689102,0.7015536],"study_design_scores_gemma":[0.00003102851,0.0002841758,0.02374978,0.0007576141,0.0002720955,0.0008349698,0.004748162,0.0004596118,0.03400696,0.005263975,0.9294642,0.0001273299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3763721,0.04727342,0.06190812,0.01171997,0.005159353,0.0009655008,0.01443944,0.003546335,0.4786159],"genre_scores_gemma":[0.534815,0.03287418,0.05714486,0.004393889,0.0006013429,0.000556081,0.01045573,0.003084871,0.3560741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03747053,"threshold_uncertainty_score":0.1253515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260457696854703,"score_gpt":0.2449639445558434,"score_spread":0.2323593675872963,"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."}}