{"id":"W1923135191","doi":"10.1109/uust.1987.1158594","title":"Evolution of the dolphin multi-vehicle control system","year":2005,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Coquitlam College","funders":"","keywords":"Control system; Computer science; Marine engineering; Hydrography; Engineering; Real-time computing; Geography; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006407684,0.0003765268,0.0002496375,0.0004897369,0.0004259578,0.0007666086,0.0007837371,0.0005079238,0.001982934],"category_scores_gemma":[0.0005832201,0.0001515191,0.0001805055,0.0002502629,0.0003181002,0.0006831572,0.0006688439,0.0007764705,0.0007064706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071724,"about_ca_system_score_gemma":0.001122773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009832576,"about_ca_topic_score_gemma":0.00576327,"domain_scores_codex":[0.9994789,0.00004771182,0.00002652935,0.0001100698,0.0002886587,0.00004811667],"domain_scores_gemma":[0.9995824,0.00003656081,0.00002055367,0.00003955224,0.000274401,0.00004659949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004343805,0.0001699089,0.00478462,0.0003137666,0.00005484105,0.0004606175,0.0006736888,0.07399484,0.1082028,0.03230699,0.01069079,0.7679127],"study_design_scores_gemma":[0.0001003051,0.0007819449,0.004909174,0.0001602887,0.00006947138,0.0007857577,0.0001422808,0.5152376,0.07797517,0.0041418,0.3955722,0.0001239366],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07347254,0.003553058,0.8386129,0.0009995934,0.0006348055,0.0005006156,0.0003729609,0.004849431,0.07700402],"genre_scores_gemma":[0.6136085,0.002460058,0.333579,0.0005354762,0.0002234039,0.0003504543,0.001148614,0.0001868478,0.04790774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009832576,"threshold_uncertainty_score":0.01955068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001311167579343,"score_gpt":0.1904025132834081,"score_spread":0.1803894016076147,"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."}}