{"id":"W7125600137","doi":"10.34943/020ef74a-7311-4b67-aa56-fe004ee57719","title":"Mantis Remotely Operated Vehicle Camera Deployed 2024-10-04","year":2024,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remotely operated underwater vehicle; Remotely operated vehicle; Video camera; Underwater; Software deployment; Mobile device","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007102418,0.002090014,0.001035384,0.002999655,0.001138479,0.001743215,0.002945245,0.001372189,0.02880137],"category_scores_gemma":[0.0032871,0.0005126506,0.0006366759,0.006014347,0.0004878929,0.001359638,0.001535487,0.001404129,0.058924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003251228,"about_ca_system_score_gemma":0.00491427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3971555,"about_ca_topic_score_gemma":0.5334898,"domain_scores_codex":[0.998859,0.00009614849,0.00007629124,0.0002910619,0.0004495094,0.0002279526],"domain_scores_gemma":[0.9981153,0.000145867,0.0001110576,0.0003950782,0.001038571,0.0001941101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000316074,0.00001296398,0.0008400789,0.000123072,0.0000103105,0.00002079917,0.00002168616,0.0002722724,0.00009657761,0.0002868371,0.9962708,0.00201303],"study_design_scores_gemma":[0.00007053519,0.0000122055,0.006765001,0.0001590342,0.00001270306,0.0000410106,0.0002128514,0.0008813924,0.0004461381,0.0006258599,0.9907371,0.00003617596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002544977,0.00003265075,0.00007279634,0.00004613162,0.00002291023,0.00001514818,0.9978638,0.0003802755,0.001311811],"genre_scores_gemma":[0.000507693,0.00001981247,0.0002154317,0.00001542918,0.000003884714,0.00003040725,0.9983255,0.00005016167,0.0008316836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3971555,"threshold_uncertainty_score":0.7896875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008054596441258865,"score_gpt":0.2196438275653289,"score_spread":0.21158923112407,"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."}}