{"id":"W4200439538","doi":"10.1155/2021/7534739","title":"YOLO-SD: A Real-Time Crew Safety Detection and Early Warning Approach","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Shanghai Science and Technology Development Foundation","keywords":"Crew; Rope; Warning system; Supervisor; Computer science; Simulation; Real-time computing; Engineering; Aeronautics; Structural engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003163862,0.001033757,0.0007806352,0.001432469,0.0002188282,0.0004886043,0.00118998,0.0007214043,0.002197428],"category_scores_gemma":[0.0008189271,0.0003131396,0.0005304577,0.0004924858,0.0001791731,0.0005546779,0.0009105604,0.000707072,0.001678795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002616374,"about_ca_system_score_gemma":0.000755779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005591139,"about_ca_topic_score_gemma":0.009116815,"domain_scores_codex":[0.9996889,0.00002850963,0.00001322206,0.000126106,0.0000916031,0.00005163526],"domain_scores_gemma":[0.9997047,0.00004500678,0.00004091611,0.00003798143,0.0001377045,0.00003382751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008544834,0.0004954937,0.00882785,0.0004361598,0.0001315851,0.0003266004,0.0001822699,0.01883669,0.1033177,0.000695087,0.02536052,0.8405355],"study_design_scores_gemma":[0.000169886,0.0007041101,0.0163142,0.00008593201,0.0001374854,0.0006109669,0.0002587033,0.9013436,0.05623021,0.001308346,0.02274348,0.0000930782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08900675,0.001028821,0.8823988,0.0001817552,0.0003462868,0.0003220189,0.001745,0.01967892,0.005291656],"genre_scores_gemma":[0.4821341,0.0006499031,0.4918759,0.0004531241,0.0001448708,0.0004498921,0.00724142,0.0005460281,0.01650472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005591139,"threshold_uncertainty_score":0.01111722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00469839569874543,"score_gpt":0.2032761528016369,"score_spread":0.1985777571028915,"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."}}