{"id":"W4239290924","doi":"10.4095/328466","title":"Environmental impacts of permafrost degradation","year":2021,"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":[0.000497819,0.0006565333,0.0002055844,0.0009246794,0.001552084,0.001139831,0.0004789812,0.0005109483,0.006615311],"category_scores_gemma":[0.0005960981,0.00009162138,0.0003621733,0.002236843,0.0005007488,0.0004181815,0.001025362,0.0004176144,0.0005326924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01153802,"about_ca_system_score_gemma":0.01848174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8911231,"about_ca_topic_score_gemma":0.9389594,"domain_scores_codex":[0.9981979,0.0001341918,0.00003925177,0.00009383784,0.001113327,0.0004215344],"domain_scores_gemma":[0.9991372,0.00002717002,0.00008449987,0.0000190395,0.0006288238,0.0001032637],"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":[0.0005853872,0.0002564848,0.3774749,0.002495134,0.0004960807,0.002142803,0.001709882,0.01857531,0.02730736,0.01067189,0.1167033,0.4415814],"study_design_scores_gemma":[0.00001808078,0.0001415547,0.745288,0.000550686,0.0001189725,0.0004979646,0.00235363,0.001671394,0.005763749,0.00207521,0.2414611,0.00005967724],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5068393,0.03924614,0.001416518,0.0125403,0.0003007507,0.0002996305,0.07177828,0.0003342923,0.3672447],"genre_scores_gemma":[0.9323688,0.0291815,0.001514854,0.001270467,0.00006320441,0.00007571202,0.01371909,0.00004922918,0.02175713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8911231,"threshold_uncertainty_score":0.2190362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05305959749433354,"score_gpt":0.2627812414024812,"score_spread":0.2097216439081477,"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."}}