{"id":"W6910404938","doi":"10.4224/40003429","title":"Evaluation of Canadian Coast Guard clothing ensembles","year":2021,"lang":"en","type":"report","venue":"NPARC","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Coast guard; Clothing; Thermal insulation; Guard (computer science); Thermal; National standard","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":[0.0007448789,0.0008540941,0.0003009002,0.001563103,0.00159512,0.0007016202,0.0007605311,0.0002439412,0.00383777],"category_scores_gemma":[0.001708714,0.0001561353,0.0003769231,0.001326606,0.0003231693,0.0002948165,0.0006998295,0.0002661531,0.0005657848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003373905,"about_ca_system_score_gemma":0.001460615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3947326,"about_ca_topic_score_gemma":0.5669721,"domain_scores_codex":[0.9989024,0.00007885781,0.00003634238,0.0001496124,0.0007206879,0.0001120791],"domain_scores_gemma":[0.9985171,0.00006559303,0.00007393589,0.0000526074,0.001163939,0.0001268888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003342112,0.0008556258,0.2555675,0.001234734,0.0003705402,0.001959976,0.005176292,0.01795164,0.2535306,0.001368315,0.02027608,0.4383665],"study_design_scores_gemma":[0.00006043529,0.002781407,0.741833,0.0003217385,0.0003953034,0.001418627,0.007902624,0.02333397,0.1537678,0.0002796873,0.06773957,0.0001659181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758563,0.0007340345,0.003062942,0.0001163742,0.00007803521,0.0002289301,0.001773888,0.00009409728,0.01805541],"genre_scores_gemma":[0.9764444,0.0007752489,0.00803072,0.0001174562,0.00001298507,0.0001120712,0.002232129,0.00005833974,0.01221664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6052674,"threshold_uncertainty_score":0.7848699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1828461509336247,"score_gpt":0.404384548812865,"score_spread":0.2215383978792403,"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."}}