{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002330284,0.0003363582,0.0005399646,0.00006498249,0.004702477,0.00006367478,0.0001367936,0.0002510193,0.0001425989],"category_scores_gemma":[0.000108404,0.0002526351,0.0001173424,0.0003536738,0.0001453178,0.0001454002,0.0009332728,0.0007417621,0.00002459258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004103604,"about_ca_system_score_gemma":0.0001619067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000166042,"about_ca_topic_score_gemma":0.008256798,"domain_scores_codex":[0.9963963,0.0002576497,0.0005400263,0.0006301162,0.0001847903,0.001991094],"domain_scores_gemma":[0.9989411,0.0003835765,0.0001933271,0.0003003162,0.00006028231,0.0001213561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006242024,0.00009549066,0.1318473,0.000555218,0.0001072082,0.00005549236,0.85886,0.000004966122,0.00324665,0.0008739835,0.0003252556,0.003966001],"study_design_scores_gemma":[0.001124222,0.0001971014,0.02044486,0.0003035463,0.00006694575,0.00007351702,0.9700126,0.001105405,0.0001144234,0.00009907403,0.006048693,0.0004096252],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902191,0.0006626136,0.0000439596,0.003203953,0.0002811404,0.001246837,0.0002367122,0.0000402152,0.004065523],"genre_scores_gemma":[0.9912751,0.002693271,0.0006323552,0.003277483,0.0003386331,0.0002138564,0.00005945185,0.00006280435,0.001447016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1114024,"threshold_uncertainty_score":0.9999926,"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."}}