{"id":"W2331958288","doi":"10.3357/asem.2627.2010","title":"Introduction of a Compressed Air Breathing Apparatus for the Offshore Oil and Gas Industry","year":2010,"lang":"en","type":"article","venue":"Aviation Space and Environmental Medicine","topic":"Space Exploration and Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dalhousie University","keywords":"Crew; Aeronautics; Aircrew; Underwater; Compressed air; Engineering; Marine engineering; Scuba diving; Training (meteorology); Submarine pipeline; Mechanical engineering; Geology; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"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":[0.00008395062,0.00007065945,0.00009752382,0.00004117562,0.0000526426,0.000003207344,0.00003012864,0.0001163799,0.00004601584],"category_scores_gemma":[0.00002189421,0.00005179844,0.00001016946,0.00004201497,0.000153826,0.00006913144,0.00001281843,0.0002038687,0.000001233014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008223713,"about_ca_system_score_gemma":0.000001252982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001061559,"about_ca_topic_score_gemma":0.00001298774,"domain_scores_codex":[0.9996715,0.000004473464,0.00009647075,0.00009051098,0.00006736317,0.00006971024],"domain_scores_gemma":[0.999778,0.00004736362,0.00003356254,0.0001092498,0.000003549136,0.00002823031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005128104,0.00004854173,0.01241835,0.0001193631,0.0001169978,0.000001099422,0.003626529,0.001156145,0.8116289,0.007051787,0.01728209,0.1464989],"study_design_scores_gemma":[0.008658151,0.0008597377,0.1414024,0.0001283962,0.0005028122,0.0002422753,0.03217642,0.1523128,0.1602941,0.002632769,0.499923,0.0008670436],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675798,0.0007658576,0.003798103,0.02709499,0.0003602798,0.0001089194,0.000007548517,0.00006690758,0.000217587],"genre_scores_gemma":[0.9984547,0.0006890139,0.0002406441,0.00007199481,0.0002970753,0.0000235806,0.00003036071,0.000009038035,0.0001836209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6513348,"threshold_uncertainty_score":0.2112279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00638418102038283,"score_gpt":0.2005135048379119,"score_spread":0.1941293238175291,"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."}}