{"id":"W6947964410","doi":"10.4224/40003427","title":"Thermal evaluation of Government of Canada cold weather clothing and Indigenous garments","year":2022,"lang":"en","type":"report","venue":"NPARC","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; National Research Council Canada; Privy Council Office","funders":"","keywords":"Clothing; Indigenous; Government (linguistics); Guard (computer science); Limiting; Arctic; Order (exchange)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007871032,0.0005022647,0.000244917,0.0010454,0.002921734,0.00118882,0.000612522,0.0002862724,0.003726841],"category_scores_gemma":[0.001423556,0.0002099948,0.0003350516,0.001438582,0.001051439,0.0002642147,0.0006683,0.0003081706,0.0003139129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01003138,"about_ca_system_score_gemma":0.008115188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9192107,"about_ca_topic_score_gemma":0.9750056,"domain_scores_codex":[0.9988033,0.00008185132,0.00002396496,0.0001042657,0.0007940762,0.0001925993],"domain_scores_gemma":[0.9987112,0.00006306341,0.00009300208,0.00003974834,0.0009415091,0.000151528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003141188,0.001227423,0.4517396,0.002630054,0.0003234562,0.002629822,0.03331244,0.005006156,0.2097817,0.002591223,0.008486639,0.2791303],"study_design_scores_gemma":[0.00001675304,0.0009228761,0.9206657,0.0002904562,0.0001314774,0.000367871,0.02428355,0.001272504,0.03111569,0.0001093126,0.0207501,0.00007363337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820375,0.0006540915,0.0005797694,0.00007280232,0.00001632722,0.0001278671,0.000533489,0.00001699327,0.0159611],"genre_scores_gemma":[0.9873954,0.0007004475,0.001995728,0.00006218344,0.000003594838,0.00003966145,0.0004337532,0.00001520274,0.009354045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08078927,"threshold_uncertainty_score":0.1625301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03782406509852713,"score_gpt":0.2604111903304134,"score_spread":0.2225871252318863,"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."}}