{"id":"W3169520283","doi":"10.3389/fmars.2021.631354","title":"Comparing the Performance of a Remotely Operated Vehicle, a Drop Camera, and a Trawl in Capturing Deep-Sea Epifaunal Abundance and Diversity","year":2021,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Remotely operated vehicle; Abundance (ecology); Environmental science; Megafauna; Remotely operated underwater vehicle; Sampling (signal processing); Marine ecosystem; Oceanography; Ecosystem; Fishery; Ecology; Computer science; Geography; Biology; Geology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004010524,0.001018677,0.0006685676,0.001859094,0.0003797071,0.001478276,0.0007621032,0.00144302,0.001236811],"category_scores_gemma":[0.009922992,0.0004478829,0.0008458187,0.001046097,0.0003893402,0.002476217,0.00101824,0.0006344697,0.0004956037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00054634,"about_ca_system_score_gemma":0.0007272048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008962978,"about_ca_topic_score_gemma":0.02015163,"domain_scores_codex":[0.9975815,0.000657313,0.0001827564,0.0007824906,0.0004881564,0.0003077887],"domain_scores_gemma":[0.9915282,0.004811697,0.0008190789,0.0003694898,0.001971811,0.0004997429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007133013,0.001470413,0.6789618,0.001532754,0.00156458,0.0002187803,0.00120749,0.009636926,0.09529221,0.0002774387,0.001283376,0.2014212],"study_design_scores_gemma":[0.0001823688,0.009406306,0.9017353,0.0002126131,0.001381344,0.0005163655,0.001543406,0.06088447,0.02142047,0.0003438728,0.002149351,0.0002240828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897494,0.0007023659,0.007051758,0.0000824228,0.00007061071,0.0001737771,0.0005502607,0.00007033663,0.001549231],"genre_scores_gemma":[0.9617182,0.0004497376,0.03522184,0.0001706547,0.00004091213,0.0001768651,0.001265484,0.00004934201,0.0009071029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008962978,"threshold_uncertainty_score":0.02120996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009241840392791802,"score_gpt":0.1905622214248471,"score_spread":0.1813203810320553,"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."}}