{"id":"W773687927","doi":"","title":"CANADA'S CLEAR TURBULENCE","year":2003,"lang":"en","type":"article","venue":"Air cargo world/Air cargo world Online","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbulence; Aeronautics; Air cargo; Subtitle; Aviation; Transport engineering; Engineering; Business; Environmental science; Meteorology; Aerospace engineering; Geography; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0004640841,0.0005832496,0.000378114,0.0009040135,0.01372191,0.007060575,0.0008254215,0.003017605,0.05694341],"category_scores_gemma":[0.001551102,0.0002765703,0.0004317019,0.001120591,0.001748471,0.0012351,0.001846281,0.006273239,0.006637846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03035214,"about_ca_system_score_gemma":0.1156781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9791803,"about_ca_topic_score_gemma":0.9951804,"domain_scores_codex":[0.9990602,0.00001833956,0.00001224014,0.0000684577,0.0004642449,0.0003764605],"domain_scores_gemma":[0.9984294,0.00003839318,0.00003436407,0.00003330366,0.0007051033,0.0007594906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000277916,0.00001464654,0.001308881,0.00004232171,0.000005865091,0.0001043428,0.000295621,0.00008214565,0.0002075689,0.002796734,0.9885317,0.006582358],"study_design_scores_gemma":[0.00001601562,0.00001372433,0.0146716,0.00009516249,0.000008879696,0.00003688603,0.002346115,0.0001264492,0.0002006332,0.0008063972,0.9816447,0.00003332458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0228448,0.005123025,0.001213982,0.3328045,0.02631955,0.0002495931,0.01844379,0.0009688904,0.5920318],"genre_scores_gemma":[0.1213256,0.002552375,0.0009231346,0.05403744,0.001164226,0.00006180863,0.004004486,0.0002698403,0.815661],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.05694341,"threshold_uncertainty_score":0.2202213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802068446898431,"score_gpt":0.2806255839176067,"score_spread":0.2626048994486224,"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."}}