{"id":"W7041000513","doi":"","title":"Science of 'Sully'","year":2016,"lang":"en","type":"article","venue":"UND Scholarly Commons (University of North Dakota)","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aviation; Aerospace; Accident (philosophy); On board; Accident investigation; Aviation medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001422541,0.00006726891,0.0001109421,0.0003573991,0.0001255001,0.00002000832,0.000455693,0.00002768686,0.0001080359],"category_scores_gemma":[0.00002160255,0.00006752057,0.00004047629,0.0007102064,0.0002538631,0.001429857,0.0001045121,0.00006769615,0.0000251318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004185789,"about_ca_system_score_gemma":0.00003190965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001830545,"about_ca_topic_score_gemma":0.0002796144,"domain_scores_codex":[0.9994444,0.00001144855,0.00008377533,0.0001104303,0.0002143821,0.0001356053],"domain_scores_gemma":[0.9994834,0.00002914511,0.00004594553,0.0002563584,0.0001247008,0.00006045473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001271314,0.0003748748,0.5921409,0.0003590913,0.0004720196,0.00004124083,0.002048378,0.06496356,0.01111542,0.05274064,0.01141224,0.2642045],"study_design_scores_gemma":[0.001260854,0.0001529921,0.9590024,0.0001092959,0.000105856,9.623186e-7,0.0002200935,0.019107,0.0005299366,0.000146163,0.01902019,0.0003442802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9280275,0.00004783056,0.04913918,0.0001387999,0.00007873068,0.00007794263,0.00001765688,0.000100141,0.02237225],"genre_scores_gemma":[0.996101,0.00006345868,0.003072377,0.000002914818,0.000005850297,4.087715e-8,0.000003518107,0.000005835277,0.0007449573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3668615,"threshold_uncertainty_score":0.2753409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009830985736251434,"score_gpt":0.1766140720192237,"score_spread":0.1667830862829723,"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."}}