{"id":"W4249950234","doi":"10.4095/326990","title":"Environmental impacts of permafrost degradation","year":2020,"lang":"en","type":"report","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Permafrost; Degradation (telecommunications); Environmental science; Environmental degradation; Earth science; Geology; Ecology; Engineering; Oceanography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000565201,0.0006786612,0.0002060066,0.0009066987,0.001522016,0.001261898,0.0005235186,0.0005515831,0.007109534],"category_scores_gemma":[0.0006819382,0.0000899493,0.0003843866,0.002226937,0.0005450504,0.0004889598,0.001153644,0.0004760823,0.0005898778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01138181,"about_ca_system_score_gemma":0.02145981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8790872,"about_ca_topic_score_gemma":0.9309091,"domain_scores_codex":[0.9980934,0.0001381667,0.00004075756,0.00009325922,0.001208734,0.0004255354],"domain_scores_gemma":[0.9990544,0.00002810768,0.00008663385,0.00002003107,0.0006994288,0.0001114945],"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":[0.0004979676,0.0002338325,0.2753241,0.002824836,0.0005008056,0.001940597,0.001814645,0.01673627,0.0235546,0.01467844,0.1683211,0.4935728],"study_design_scores_gemma":[0.0000189521,0.0001512483,0.5965669,0.0007509335,0.0001430197,0.0005639362,0.00262483,0.001874367,0.005621186,0.003220512,0.3883884,0.00007572098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4013606,0.05197593,0.001977905,0.01975354,0.0004746417,0.000321027,0.08198176,0.000457521,0.4416971],"genre_scores_gemma":[0.9168543,0.0383587,0.002027666,0.002027838,0.00008382228,0.00008941968,0.01589607,0.00006212236,0.02460006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8790872,"threshold_uncertainty_score":0.2432497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05797229323606355,"score_gpt":0.2591114975032418,"score_spread":0.2011392042671782,"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."}}