{"id":"W6889720782","doi":"10.26022/ieda/316140","title":"Processed ship-based Multibeam Sonar Data (version 2) acquired in the North Atlantic Ocean off the coast of Greenland during the Knorr expedition KN179-04 (2004)","year":2010,"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":"","keywords":"Sonar; Data set; Data processing; Indian ocean; Pacific ocean","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":[0.0004937817,0.0009205557,0.0005627375,0.002483947,0.0004184427,0.0006839318,0.001236219,0.0006085226,0.006305174],"category_scores_gemma":[0.001025091,0.0003933095,0.0003913329,0.00413905,0.0002467118,0.0004175894,0.0007774422,0.0006087976,0.008121631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001881609,"about_ca_system_score_gemma":0.00274748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2929752,"about_ca_topic_score_gemma":0.4719343,"domain_scores_codex":[0.9996204,0.00002566667,0.0000327682,0.00009254865,0.0001445768,0.00008399523],"domain_scores_gemma":[0.9992899,0.00004921658,0.0001032678,0.0001458235,0.000346551,0.00006530231],"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":[0.0002375451,0.0001426996,0.02579834,0.000425722,0.000089036,0.0001546587,0.0001889863,0.003232405,0.00188363,0.0004853633,0.949939,0.01742264],"study_design_scores_gemma":[0.0001443933,0.00002852105,0.2218665,0.0001744399,0.00005123821,0.0001343064,0.0004364776,0.002331751,0.003095953,0.0003397996,0.7713306,0.00006599628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006713754,0.00003903446,0.0001753889,0.00004095972,0.00001983305,0.00001922877,0.9913641,0.0002153991,0.001412323],"genre_scores_gemma":[0.004446642,0.00002620974,0.0004618892,0.00001417141,0.000003838969,0.000036127,0.9934676,0.00004173073,0.001501857],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2929752,"threshold_uncertainty_score":0.5825397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02411709556742778,"score_gpt":0.2120437578690407,"score_spread":0.187926662301613,"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."}}