{"id":"W6946497730","doi":"10.34943/80cc0755-b462-4e65-b5af-db9174ccbc21","title":"ROPOS Echosounder, Hydrographic Multibeam Deployed 2010-09-12","year":2013,"lang":"en","type":"dataset","venue":"Ocean Networks Canada Society","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bathymetry; Heading (navigation); Sonar; Hydrography; Echo sounding; Hydrographic survey; Seabed; Seafloor spreading","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":[0.0006083777,0.001262497,0.000748245,0.002698692,0.0006769162,0.0009367035,0.00172525,0.0007985168,0.006070958],"category_scores_gemma":[0.001780127,0.0003473985,0.0005141615,0.004276535,0.0003628911,0.0007297703,0.0009249221,0.0009961806,0.0113967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002610849,"about_ca_system_score_gemma":0.003809601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3101594,"about_ca_topic_score_gemma":0.4831953,"domain_scores_codex":[0.9995135,0.00003721029,0.00004193587,0.0001065226,0.000190017,0.0001107448],"domain_scores_gemma":[0.9990976,0.00006143731,0.00007508844,0.0001507871,0.000473622,0.0001415581],"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":[0.0001403854,0.00005729634,0.006468514,0.0003377639,0.00004758703,0.00009100095,0.00007271714,0.001378274,0.000511201,0.0004968414,0.9856625,0.004735928],"study_design_scores_gemma":[0.0002813372,0.0000386764,0.05262252,0.0002596714,0.00004053581,0.0001203693,0.0004547298,0.003516548,0.001531406,0.0007469523,0.9403188,0.00006849116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001844624,0.00004156378,0.0001029151,0.00004355016,0.00001984353,0.00001904931,0.9965749,0.0003453814,0.001008279],"genre_scores_gemma":[0.001479312,0.00002715166,0.0002831968,0.00001255003,0.00000396248,0.00002707136,0.9976494,0.00003148849,0.0004859519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3101594,"threshold_uncertainty_score":0.616708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863534170620112,"score_gpt":0.1601556627607564,"score_spread":0.1415203210545553,"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."}}