{"id":"W6963570393","doi":"10.18739/a2183444r","title":"Arctic Urban Risks and Adaptations (AURA): a co-production framework for addressing multiple changing environmental hazards, United States & Canada, 2022-2023","year":2024,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Climate change; Baseline (sea); Arctic; The arctic; Built environment; Risk assessment; Mean radiant temperature","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":[0.001449652,0.001522559,0.0008480768,0.003797838,0.001542415,0.002847293,0.002844853,0.001168996,0.01271859],"category_scores_gemma":[0.004994928,0.0005988106,0.001409672,0.00841058,0.0005283807,0.001044495,0.002551244,0.001876907,0.008965197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01218091,"about_ca_system_score_gemma":0.02068948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9044258,"about_ca_topic_score_gemma":0.9399114,"domain_scores_codex":[0.9991879,0.0001335297,0.00006588519,0.0001626223,0.0002915356,0.0001584621],"domain_scores_gemma":[0.9969098,0.000325782,0.000179585,0.0003347454,0.001791176,0.0004590085],"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":[0.00004759956,0.00002351256,0.006553569,0.0002707811,0.00006851343,0.00002973891,0.00006874184,0.002753525,0.00005218415,0.00214017,0.9838876,0.004103988],"study_design_scores_gemma":[0.0001465677,0.00001187774,0.02459459,0.0005585757,0.00005727146,0.00004195095,0.0006165435,0.006804034,0.0002812145,0.003145372,0.9636633,0.00007872129],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003558476,0.00006831984,0.0002235209,0.0001702823,0.0000260601,0.00002035077,0.9980214,0.0002123962,0.0009018146],"genre_scores_gemma":[0.001512199,0.0001099259,0.001376576,0.00004889656,0.00000551483,0.00008605405,0.9962122,0.00004874124,0.0005999748],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0955742,"threshold_uncertainty_score":0.1922741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002546269841553,"score_gpt":0.3523921748698044,"score_spread":0.2521375478856491,"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."}}