{"id":"W2345515311","doi":"","title":"An Automated Hydrographic Survey in James Bay, Canada","year":2015,"lang":"en","type":"article","venue":"The International Hydrographic Review","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hydrographic Service","funders":"","keywords":"Hydrographic survey; Bay; Oceanography; Hydrography; Geography; Environmental science; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003244473,0.0001781336,0.0002617736,0.0002260265,0.00007175969,0.0001158692,0.001414625,0.00004278227,0.0006108163],"category_scores_gemma":[0.000228605,0.000116141,0.00006579058,0.001184316,0.0001512152,0.0002260815,0.00003466959,0.0002864884,0.00006825135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003161966,"about_ca_system_score_gemma":0.0005067191,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8279352,"about_ca_topic_score_gemma":0.9683859,"domain_scores_codex":[0.9970423,0.0006234471,0.0004382939,0.0003078156,0.001206481,0.0003816765],"domain_scores_gemma":[0.9987065,0.0003049219,0.0001036344,0.0004132669,0.0002132379,0.0002584344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002527823,0.00004272907,0.9701046,0.00007393786,0.00006528529,0.0000627472,0.00003868855,0.008707969,0.000003020623,0.00001347698,0.01179443,0.009067823],"study_design_scores_gemma":[0.0004063331,0.0001256053,0.5447146,0.0005324443,0.00002477539,0.00008029122,0.0000389949,0.4123822,0.000008170389,0.0009287206,0.04041677,0.0003410544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9236035,0.0576401,0.00009717773,0.007726743,0.001198667,0.001228626,0.0003815604,0.0002879551,0.007835642],"genre_scores_gemma":[0.9858968,0.01177133,0.0001012148,0.001525239,0.00005591779,0.000008452835,0.0005775772,0.000007080862,0.00005639292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4253899,"threshold_uncertainty_score":0.668801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05875087994958488,"score_gpt":0.3158094308006685,"score_spread":0.2570585508510836,"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."}}