{"id":"W4313119245","doi":"10.1109/oceans47191.2022.9977379","title":"Remote Operating Vehicle Observation Data Contributions to the Ocean Biodiversity Information System","year":2022,"lang":"en","type":"article","venue":"OCEANS 2022, Hampton Roads","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ocean Networks Canada Society","funders":"","keywords":"Remote sensing; Biodiversity; Computer science; Environmental science; Geology; Ecology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006882965,0.0001149689,0.0001059234,0.00009230991,0.001883554,0.0002232518,0.002038518,0.00002690682,0.00001685756],"category_scores_gemma":[0.00007085748,0.0001064143,0.00003787418,0.001101624,0.00001895117,0.00113261,0.00201174,0.0002308599,0.00006807145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003156069,"about_ca_system_score_gemma":0.0001125646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008326413,"about_ca_topic_score_gemma":0.000003672611,"domain_scores_codex":[0.9986026,0.000101506,0.0002949344,0.0003337956,0.0004531845,0.0002139748],"domain_scores_gemma":[0.9983601,0.00007545593,0.0001495554,0.00110847,0.0002301673,0.00007627053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001798991,0.00010227,0.0008992052,0.00002574992,0.00005078174,0.000006590878,0.002795989,0.2591257,0.000464016,0.2242266,0.4483611,0.06392393],"study_design_scores_gemma":[0.0001653335,0.00004581376,0.0008654367,0.000006075469,0.000006949221,0.00001366831,0.0003783608,0.683348,0.0001240295,0.0003945844,0.3145066,0.0001451503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01090537,0.00002173195,0.9689345,0.01737048,0.0002237705,0.0005824654,0.001160514,0.0004493908,0.0003518276],"genre_scores_gemma":[0.9075114,0.000008461169,0.08453757,0.00510462,0.0001036936,0.00004887842,0.002480875,0.000007621622,0.0001968647],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.896606,"threshold_uncertainty_score":0.9994159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696343788286837,"score_gpt":0.274002122162676,"score_spread":0.2470386842798076,"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."}}