{"id":"W2025357119","doi":"10.1109/oceans.2007.4449253","title":"An Automated Visual Event Detection System for Cabled Observatory Video","year":2007,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"David and Lucile Packard Foundation; University of Victoria; National Science Foundation","keywords":"Underwater; Observatory; Event (particle physics); Venus; Mars Exploration Program; Computer science; Remote sensing; Remotely operated underwater vehicle; Process (computing); Geology; Artificial intelligence; Astrobiology; Mobile robot; Oceanography; Robot","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005494643,0.0005057093,0.0005886977,0.001345371,0.0004622721,0.0007473343,0.001109978,0.0005649676,0.00471381],"category_scores_gemma":[0.001721152,0.0002915896,0.0002168575,0.0006347271,0.0002225907,0.0007541199,0.000546345,0.0004158837,0.001669641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005193939,"about_ca_system_score_gemma":0.0006954786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004882258,"about_ca_topic_score_gemma":0.003130038,"domain_scores_codex":[0.9995042,0.00004925207,0.00002814857,0.0001564662,0.0002204321,0.00004148259],"domain_scores_gemma":[0.9988316,0.0003227525,0.0001087141,0.0001188281,0.0005208631,0.00009729245],"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":[0.001120814,0.0004128743,0.007981393,0.000281814,0.00009015909,0.0005019894,0.0003425877,0.008017704,0.2225377,0.002395585,0.02521394,0.7311034],"study_design_scores_gemma":[0.0004477777,0.001350679,0.02666022,0.0001208779,0.000172534,0.001513153,0.0002117921,0.6805291,0.2202434,0.00256213,0.06596052,0.0002278186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07695794,0.0003294787,0.8508726,0.0001886318,0.0001712775,0.0009167229,0.001403445,0.06238915,0.006770756],"genre_scores_gemma":[0.4986614,0.0002951765,0.4837552,0.000279719,0.0001746585,0.0008506814,0.002796246,0.0006422751,0.01254461],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004882258,"threshold_uncertainty_score":0.01576924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701611302380408,"score_gpt":0.2766449257395738,"score_spread":0.2596288127157698,"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."}}