{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004477147,0.00009854369,0.0001204704,0.00005737443,0.00008900798,0.00004147265,0.0001365544,0.00008240893,0.000005674512],"category_scores_gemma":[8.297536e-7,0.00009236606,0.00004534363,0.0001090185,0.00000554835,0.0001102995,0.00001085162,0.00004960877,0.00002546471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001789264,"about_ca_system_score_gemma":0.00000691489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001035323,"about_ca_topic_score_gemma":0.0002638058,"domain_scores_codex":[0.9992774,0.00002504594,0.000299008,0.0001052753,0.00009304003,0.0002001932],"domain_scores_gemma":[0.9995392,0.00003710641,0.00002959265,0.0002509948,0.00006247134,0.00008062465],"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":[0.00002834922,0.00003522455,0.0004449954,0.000301047,0.0000639989,0.000001231633,0.0003191693,0.007857814,0.9733424,0.0001852988,0.00009272835,0.01732771],"study_design_scores_gemma":[0.0003052259,0.00005557743,0.001946524,0.0000237226,0.000007863307,0.000006936137,0.0007806576,0.6236851,0.3676581,0.000006467051,0.005396971,0.0001268636],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4278846,0.000049891,0.5684919,0.000004170601,0.000145443,0.0002314777,0.000001307496,0.002679517,0.0005117059],"genre_scores_gemma":[0.9976429,0.000001724371,0.002093591,0.00001685292,0.00007907424,0.000056204,0.00001009049,0.00003205756,0.00006744943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6158273,"threshold_uncertainty_score":0.3766578,"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."}}