{"id":"W1581459281","doi":"","title":"Deep Ocean Mining","year":2001,"lang":"en","type":"article","venue":"Geoscience Canada","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Geology; Deep sea; Manganese; Geochemistry; Hydrothermal vent; Hydrothermal circulation; Oceanography; Paleontology; Metallurgy; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001111278,0.00006941624,0.00006810905,0.00001952903,0.0002568502,0.00003545485,0.0002413233,0.00001419528,0.005272339],"category_scores_gemma":[0.000027116,0.00005894651,0.00002046165,0.0004016804,0.00005480773,0.0001134123,0.00000813413,0.00004144066,0.00002643751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000104509,"about_ca_system_score_gemma":0.0001968773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8855077,"about_ca_topic_score_gemma":0.9838721,"domain_scores_codex":[0.9990785,0.000009392415,0.00009935475,0.0001948789,0.000292339,0.0003256057],"domain_scores_gemma":[0.9996397,0.00002397242,0.0000304621,0.0001164512,0.00001692128,0.0001724245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002267296,0.00000222593,0.967187,0.000002038632,0.000003021027,0.000068384,0.00003138622,0.002755722,0.00002103685,0.000002584317,0.002415064,0.02750928],"study_design_scores_gemma":[0.0001387158,0.00003573971,0.801096,0.000007838192,0.00001599605,0.0001107913,0.002273675,0.08061726,0.0003171441,0.0001572028,0.1148821,0.0003475087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797578,0.0001070333,0.0000918575,0.0005182967,0.0001780996,0.0000196668,0.00001326121,0.00001158086,0.01930244],"genre_scores_gemma":[0.9968516,0.00001045648,0.000236426,0.0007901752,0.00004519911,9.259086e-8,0.00003951418,6.0805e-7,0.002025906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.166091,"threshold_uncertainty_score":0.995637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005969626218059945,"score_gpt":0.1619684462813385,"score_spread":0.1559988200632785,"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."}}