{"id":"W2618633466","doi":"10.15763/jou.ts.2017.5.2.03","title":"From \"Snow Eagle\" to \"Ban the Tan:\" Aviation and Canadian Climatic Identity","year":2017,"lang":"en","type":"article","venue":"Technology s Stories","topic":"Space Exploration and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Eagle; Aviation; Identity (music); Aeronautics; Meteorology; Geography; Physical geography; Engineering; Art; Geology; Aerospace engineering; Aesthetics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001149834,0.000312502,0.0002128541,0.0009161199,0.03198619,0.006583354,0.0008962972,0.001555845,0.007427842],"category_scores_gemma":[0.002070356,0.0001472487,0.0001894352,0.001870835,0.01687314,0.002965952,0.002341872,0.003253757,0.0003144394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04743124,"about_ca_system_score_gemma":0.06021282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9849682,"about_ca_topic_score_gemma":0.9951974,"domain_scores_codex":[0.9987071,0.000250342,0.00001289253,0.0001028828,0.0003567857,0.0005701044],"domain_scores_gemma":[0.9986742,0.0003126255,0.00008045336,0.00003108256,0.0004588707,0.000442902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004408452,0.00001949802,0.009538053,0.00006943828,0.000009521817,0.0004212392,0.7486505,0.0001064059,0.0004397482,0.1614425,0.05969578,0.01956317],"study_design_scores_gemma":[0.000003293672,0.00001021444,0.01038895,0.0001332078,0.000008909724,0.0001481358,0.6713178,0.00006541656,0.0002137724,0.00373959,0.31394,0.0000307801],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4365187,0.005371025,0.001231239,0.08891118,0.001020988,0.00002407279,0.0002951042,0.00003877983,0.466589],"genre_scores_gemma":[0.9564826,0.00228246,0.0002298277,0.00401045,0.00004296273,0.000007266781,0.00004358722,0.00003038169,0.03687038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9680138,"threshold_uncertainty_score":0.3441393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256438752012274,"score_gpt":0.2436685407161448,"score_spread":0.2311041531960221,"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."}}