{"id":"W7145352632","doi":"","title":"沖縄トラフ, 鳩間海丘の海底熱水活動域のマッピング","year":2001,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hydrographic Service","funders":"","keywords":"Hydrothermal circulation; Chimney (locomotive); Hydrothermal vent; Trough (economics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000854331,0.0003053373,0.0003150702,0.002120481,0.00150309,0.001620551,0.0003071132,0.0003976499,0.007529165],"category_scores_gemma":[0.001642278,0.0002403862,0.0001654439,0.002943847,0.0005430132,0.001289895,0.0009643046,0.0003628076,0.002934631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019421,"about_ca_system_score_gemma":0.001194024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02815408,"about_ca_topic_score_gemma":0.07688242,"domain_scores_codex":[0.9996624,0.00002633361,0.00004381702,0.00007297674,0.0001220246,0.00007236078],"domain_scores_gemma":[0.9988891,0.0001493809,0.0001928408,0.0001239546,0.000498844,0.0001459503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001029582,0.0001543421,0.3011191,0.0007391544,0.00007388937,0.001090536,0.006673524,0.0009188575,0.02345504,0.004519339,0.03476681,0.6254599],"study_design_scores_gemma":[0.00002670275,0.000351012,0.5381609,0.0001925411,0.0001354914,0.0009533035,0.01238142,0.002779349,0.02761933,0.002586205,0.4147122,0.0001016377],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8668208,0.004857583,0.02521886,0.001878551,0.0005254768,0.0005092727,0.03253752,0.0009450833,0.06670684],"genre_scores_gemma":[0.822206,0.003049084,0.05895068,0.0003282867,0.0001033326,0.0003249131,0.03497395,0.0001166074,0.07994722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02815408,"threshold_uncertainty_score":0.05598038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519127152452072,"score_gpt":0.2357004551836464,"score_spread":0.2205091836591257,"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."}}