{"id":"W3193742682","doi":"10.1175/wcas-d-20-0174.1","title":"Sila qanuippa? (how's the weather?): Integrating Inuit Qaujimajatuqangit and environmental forecasting products to support travel safety around Pond Inlet, Nunavut in a changing climate","year":2021,"lang":"en","type":"article","venue":"Weather Climate and Society","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McMaster University; Government of Nunavut","funders":"Environment and Climate Change Canada; ArcticNet; Canada Research Chairs; Marine Environmental Observation Prediction and Response Network","keywords":"Sea ice; Extreme weather; Service provider; Weather forecasting; Arctic; Service (business); Environmental science; Climate change; Product (mathematics); Meteorology; Visibility; Environmental resource management; Climatology; Business; Geography; Oceanography; Marketing; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003200639,0.0004013789,0.0001876222,0.001064486,0.003508871,0.004454159,0.0009512623,0.0005783687,0.004490017],"category_scores_gemma":[0.008709272,0.0002486944,0.0002446957,0.001063109,0.0008668946,0.002699441,0.002225973,0.0009126268,0.000855667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003684567,"about_ca_system_score_gemma":0.006662901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3592435,"about_ca_topic_score_gemma":0.5693167,"domain_scores_codex":[0.9992866,0.000316719,0.00003126137,0.00007407859,0.0001596628,0.0001317974],"domain_scores_gemma":[0.9966354,0.0008849012,0.0002403851,0.0001922116,0.001440547,0.0006066749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004335117,0.0008545756,0.3165047,0.001354919,0.0001353425,0.003401402,0.1427722,0.002563608,0.01064913,0.005503982,0.0684899,0.4473367],"study_design_scores_gemma":[0.00005515966,0.0007983496,0.2487059,0.001722357,0.000351875,0.0007034816,0.3512089,0.01913666,0.007300705,0.003128113,0.3666809,0.0002075832],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8593718,0.001381617,0.01172154,0.02158177,0.0003768193,0.001053599,0.002977751,0.001665064,0.09987004],"genre_scores_gemma":[0.9292601,0.001108658,0.04890924,0.002069007,0.00005134015,0.0002810337,0.001976528,0.0003577985,0.0159863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6407565,"threshold_uncertainty_score":0.7143049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03410907013202856,"score_gpt":0.2952386564222695,"score_spread":0.261129586290241,"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."}}