{"id":"W4392422689","doi":"10.4095/331123","title":"Northern Canada, Regional perspectives report [Infographic]","year":2022,"lang":"en","type":"report","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Infographic; Geography; Cartography; Computer science; Data mining","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":[0.00139925,0.00180394,0.0009122391,0.005303532,0.003371796,0.004003175,0.002317773,0.002271613,0.08866946],"category_scores_gemma":[0.00297201,0.001089053,0.001121781,0.0122975,0.000536886,0.001326067,0.001114887,0.002165856,0.02308646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03594806,"about_ca_system_score_gemma":0.1773385,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995726,"about_ca_topic_score_gemma":0.996154,"domain_scores_codex":[0.9980232,0.00006345998,0.00007258978,0.0001103784,0.001177464,0.0005529817],"domain_scores_gemma":[0.9941339,0.0002152571,0.000115371,0.0001091658,0.004828346,0.0005979286],"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":[0.0001029786,0.00004708852,0.002045206,0.0001816369,0.00001972241,0.00006942925,0.00007612247,0.000320129,0.0001165328,0.0007016407,0.9871277,0.009191805],"study_design_scores_gemma":[0.0001060759,0.00002137934,0.03795053,0.000195847,0.00005734584,0.00004202828,0.0005994572,0.0004913278,0.0007593008,0.0003169442,0.9594103,0.00004936915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004193498,0.00273486,0.0003897896,0.005393493,0.001427718,0.0004164568,0.840091,0.000685188,0.1446679],"genre_scores_gemma":[0.007269531,0.00454363,0.00133748,0.001268761,0.0001943328,0.0003906549,0.1887867,0.0003468468,0.7958621],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08866946,"threshold_uncertainty_score":0.2966288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05957814081660827,"score_gpt":0.2558900569548376,"score_spread":0.1963119161382293,"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."}}