{"id":"W2288854098","doi":"10.23919/oceans.2015.7404608","title":"Ship to shore: ROV dive logging and data acquisition","year":2015,"lang":"en","type":"article","venue":"","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society","funders":"","keywords":"Remotely operated underwater vehicle; Shore; Remotely operated vehicle; Computer science; Data acquisition; Sonar; Marine engineering; Underwater; Remote sensing; Oceanography; Engineering; Geology; Artificial intelligence; Operating system; Robot; Mobile robot","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001766118,0.00005208828,0.0000613364,0.00002678568,0.00002115454,0.00006418173,0.0002480786,0.00002342043,0.00001347283],"category_scores_gemma":[0.000001375747,0.00004594302,0.000004660624,0.0000429069,0.000006096404,0.0001618241,0.0002520486,0.00003685945,0.00008173818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001952354,"about_ca_system_score_gemma":0.000003402112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005722516,"about_ca_topic_score_gemma":0.00003088305,"domain_scores_codex":[0.9996406,0.00001512363,0.00008950961,0.00009614015,0.00007054819,0.00008803594],"domain_scores_gemma":[0.9993996,0.00001277368,0.000005656615,0.0004696804,0.00001562935,0.00009666038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001193312,0.000206661,0.05629037,0.0006336409,0.000589661,0.00003177398,0.05594922,0.02502618,0.1137783,0.0092199,0.3139664,0.4241886],"study_design_scores_gemma":[0.001333567,0.0001399389,0.009373321,0.0001461566,0.00004419393,0.00004826806,0.01091048,0.3733899,0.01573847,0.003218547,0.5845893,0.001067926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4249028,0.001652851,0.5318833,0.003508227,0.000281606,0.0004267367,0.00003987547,0.001073589,0.036231],"genre_scores_gemma":[0.9960692,0.00001132275,0.003516544,0.0001654222,0.00005393621,0.000005050516,0.00003592646,0.000009692221,0.0001329019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5711664,"threshold_uncertainty_score":0.1873502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09763611230346218,"score_gpt":0.2856273669431703,"score_spread":0.1879912546397081,"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."}}