{"id":"W1577288293","doi":"10.4271/2005-01-1198","title":"Off-Throttle Turning Performance of Personal Watercraft for Accident Reconstruction","year":2005,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis","funders":"","keywords":"Watercraft; Throttle; Automotive engineering; Cruise control; Computer science; Engineering; Control (management); Marine engineering; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001880976,0.0002639833,0.0001732356,0.000480929,0.0002163129,0.0002334724,0.000218291,0.0001766789,0.001586418],"category_scores_gemma":[0.0007071698,0.0001291119,0.0001377757,0.000220672,0.0001871987,0.0002693523,0.0002307484,0.0001362447,0.0003002543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042117,"about_ca_system_score_gemma":0.0001800567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00486442,"about_ca_topic_score_gemma":0.01016476,"domain_scores_codex":[0.9998342,0.000018903,0.000008714317,0.00002709196,0.00007707014,0.00003399591],"domain_scores_gemma":[0.9995777,0.00007471069,0.00006205618,0.00005587382,0.0001865844,0.00004304364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00297787,0.0005224082,0.1758319,0.000289354,0.00006545126,0.0006928393,0.001188139,0.02301863,0.5984905,0.0001775533,0.001429262,0.1953161],"study_design_scores_gemma":[0.00003702275,0.004787481,0.5480613,0.00004304851,0.00009910912,0.0007970598,0.001885514,0.0518503,0.3891351,0.0001428725,0.00306844,0.00009275549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981007,0.0000242164,0.001271995,0.000004185103,0.000002317797,0.000008328438,0.00007503898,0.00003817969,0.0004751263],"genre_scores_gemma":[0.9987748,0.00002585134,0.0005738574,0.000001767844,4.152021e-7,0.00000208545,0.0001281941,0.000007751802,0.0004853399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00486442,"threshold_uncertainty_score":0.009672225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008956093004281986,"score_gpt":0.226998171045726,"score_spread":0.218042078041444,"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."}}