{"id":"W2573383495","doi":"","title":"Bathymetric survey and discovery of hydrothermal plume in the Daiichi-Amami Knoll using autonomous underwater vehicle","year":2014,"lang":"en","type":"article","venue":"Japan Geoscience Union","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Hydrographic Service","funders":"","keywords":"Bathymetry; Plume; Hydrothermal circulation; Geology; Underwater; Seismology; Oceanography; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001462461,0.0001041636,0.0001468606,0.0001753884,0.00008465219,0.0001073435,0.0003974792,0.00005031996,0.000002204666],"category_scores_gemma":[0.00001059678,0.00007533321,0.00002346452,0.0005934385,0.0001105797,0.0003371522,0.00007376285,0.0001140908,0.000002944775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004150928,"about_ca_system_score_gemma":0.00001446843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001892721,"about_ca_topic_score_gemma":0.0004006807,"domain_scores_codex":[0.9988886,0.0003133225,0.0002514831,0.0001532973,0.0001798854,0.0002134306],"domain_scores_gemma":[0.9993963,0.0001465907,0.00005080956,0.0003577314,0.00001928234,0.00002930028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002035919,0.0002351885,0.5579244,0.00019676,0.0000283139,0.000001449046,0.01123837,0.04159258,0.3338784,0.001966385,0.00001871142,0.05289907],"study_design_scores_gemma":[0.0003072467,0.00005414369,0.5298577,0.00003827335,0.00000398521,0.00001135842,0.0004561418,0.4636938,0.00460367,0.0001484371,0.0006532391,0.0001719756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756709,0.0001159334,0.0235968,0.0000482838,0.00005067666,0.000123709,0.000005020325,0.00002960477,0.0003591068],"genre_scores_gemma":[0.9995767,0.00001652343,0.0002630541,0.00004088325,0.00001744718,0.000004393697,0.000003906956,0.0000118693,0.00006516145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4221013,"threshold_uncertainty_score":0.3071999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144731892696294,"score_gpt":0.2242720438772977,"score_spread":0.2028247249503347,"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."}}