{"id":"W2482231408","doi":"10.1016/b978-1-78242-187-0.00002-x","title":"Development and Implementation of Helicopter Underwater Egress Training Programs","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Safety Canada","funders":"","keywords":"Training (meteorology); Aeronautics; Underwater; Engineering; Engineering management; Computer science; History; Geography; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100475,0.0002260977,0.0002967504,0.0001053155,0.0000254123,0.00001556328,0.00008129515,0.0002223938,0.00005463491],"category_scores_gemma":[6.536997e-7,0.0002146977,0.00003642548,0.00000734948,0.00005656873,0.00003085189,0.00004737493,0.0001624602,0.00001968234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006251372,"about_ca_system_score_gemma":0.00004561169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.309045e-7,"about_ca_topic_score_gemma":0.00006807417,"domain_scores_codex":[0.9991727,0.000003162684,0.0003271622,0.0001650125,0.0001548918,0.0001770868],"domain_scores_gemma":[0.9996553,0.000004934158,0.00009395617,0.0001434389,0.00004907876,0.00005331406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001098487,0.000001036821,0.00001628889,0.00009968776,0.00007652452,0.000002329392,0.002533826,0.000001789399,0.00007313718,0.001550614,0.00003030058,0.9956134],"study_design_scores_gemma":[0.0003199154,0.0000388957,0.00002399769,0.0001988687,0.0000403017,0.000006735321,0.0004758727,0.00001094436,0.001804289,0.001900949,0.9948777,0.0003015508],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01485164,0.001348061,0.0001374188,0.00004024227,0.0002235578,0.0007557653,0.00001547577,0.0003924215,0.9822354],"genre_scores_gemma":[0.1618321,0.0001294131,0.01077223,0.00006094923,0.0001457472,0.0001525587,0.0001751617,0.0002108768,0.826521],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9953118,"threshold_uncertainty_score":0.8755118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03817394442092524,"score_gpt":0.2611112266917952,"score_spread":0.2229372822708699,"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."}}