{"id":"W7097504931","doi":"","title":"Oberholster, Henry Greater Toronto Airports Authority R","year":2010,"lang":"en","type":"article","venue":"","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attendance; Miller; Work (physics); Limit (mathematics); Time limit","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004356005,0.001416653,0.0005470341,0.0009951399,0.004326654,0.005119484,0.0008656534,0.001746454,0.6967983],"category_scores_gemma":[0.00105356,0.0005994173,0.0004346106,0.001468806,0.0008399504,0.001701343,0.001900468,0.001759435,0.347279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006682629,"about_ca_system_score_gemma":0.009103149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2880824,"about_ca_topic_score_gemma":0.6266551,"domain_scores_codex":[0.9991891,0.00004392117,0.00003028164,0.0001986342,0.0003544311,0.0001836078],"domain_scores_gemma":[0.9986426,0.00006259233,0.00004835931,0.00007597604,0.0006389943,0.0005314486],"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":[0.00009979511,0.00002643828,0.001444598,0.0001160761,0.000006568505,0.0004873954,0.0002543824,0.000163555,0.0006105236,0.00375188,0.9134706,0.07956823],"study_design_scores_gemma":[0.000008176416,0.00001542448,0.002434362,0.00007075266,0.000002857007,0.0001011186,0.0003202905,0.00006154464,0.0001067831,0.000170076,0.9966998,0.000008669502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002947389,0.005050952,0.0005846347,0.006667648,0.00255896,0.00008916539,0.004579726,0.0006199043,0.9769016],"genre_scores_gemma":[0.002386829,0.0009496845,0.0001557115,0.0001949489,0.00005655352,0.000006611609,0.0004442278,0.00007368342,0.9957319],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3032017,"threshold_uncertainty_score":0.5728112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03213240035523848,"score_gpt":0.2358243394897189,"score_spread":0.2036919391344804,"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."}}