{"id":"W6887377955","doi":"10.1594/ieda/100379","title":"Processed Multibeam Sonar Data (version 2) from the Scotia Sea acquired during Nathaniel B. Palmer expedition NBP0606 (2006)","year":2008,"lang":"en","type":"dataset","venue":"LDEO - Lamont-Doherty Earth Observatory, Columbia University","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Bathymetry; Sonar; Nova scotia; Data set; Data processing","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":[0.0004618384,0.001179187,0.0006143347,0.002755195,0.0005536315,0.0008494476,0.00136324,0.0006836255,0.008284125],"category_scores_gemma":[0.001074497,0.0005725239,0.0005098335,0.003812893,0.0002736836,0.0003546728,0.0007530561,0.0007263934,0.01031083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001838985,"about_ca_system_score_gemma":0.003070988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3952028,"about_ca_topic_score_gemma":0.5613311,"domain_scores_codex":[0.9996039,0.00002359095,0.00003043553,0.00008463615,0.0001683422,0.00008908398],"domain_scores_gemma":[0.9990484,0.0000652701,0.0001248278,0.0001991025,0.0004725603,0.00008980648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000284461,0.0001176998,0.02308347,0.0005066686,0.00009704047,0.0002243869,0.0002054923,0.002612498,0.001394261,0.0004837751,0.9592786,0.01171159],"study_design_scores_gemma":[0.0002107267,0.00003785627,0.2364383,0.0002608605,0.00005742719,0.0001601932,0.0003499781,0.002681875,0.002394326,0.0003381003,0.7569967,0.00007363847],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004135014,0.00004433737,0.0001359965,0.00003013474,0.00001783943,0.0000214315,0.9942877,0.0002404849,0.001087218],"genre_scores_gemma":[0.00383482,0.00002494395,0.0004001538,0.000008442822,0.000003490431,0.00003770094,0.9945692,0.00003515072,0.00108616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3952028,"threshold_uncertainty_score":0.785805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03332442002993265,"score_gpt":0.2142414182435523,"score_spread":0.1809169982136197,"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."}}