{"id":"W4403504045","doi":"10.1130/abs/2024se-398028","title":"MINERALOGICAL AND GEOCHEMICAL APPLICATIONS TO EVALUATE CRITICAL MINERALS CONTENT IN MARINE SEDIMENTS OFFSHORE OF VIRGINIA","year":2024,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SGS (Canada)","funders":"","keywords":"Submarine pipeline; Geology; Geochemistry; Clay minerals; Marine geology; Mining engineering; Oceanography","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":[0.0001341921,0.0001886576,0.0001068297,0.001931049,0.0005939861,0.0005571473,0.0002311333,0.0001864308,0.0006779853],"category_scores_gemma":[0.0005018631,0.0001217652,0.0001660716,0.00139309,0.0001267502,0.0001507407,0.0003045932,0.0001068618,0.0001515905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007637175,"about_ca_system_score_gemma":0.0008192354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1211734,"about_ca_topic_score_gemma":0.3002428,"domain_scores_codex":[0.9999093,0.000008693888,0.000008715604,0.00002115596,0.00003765872,0.00001443322],"domain_scores_gemma":[0.9996328,0.00004857642,0.00004396884,0.00001336998,0.0002325945,0.00002863564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001898389,0.00008393657,0.8789401,0.00006123311,0.0000579933,0.0002164611,0.0002320077,0.007905505,0.07005276,0.0002486501,0.0003566042,0.04165494],"study_design_scores_gemma":[0.00002373354,0.0001536663,0.8605591,0.00002310286,0.00006639998,0.0002063777,0.00122541,0.04762749,0.08628384,0.0002757444,0.003537609,0.00001754425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932163,0.00006326121,0.002953541,0.00001971037,0.000004292787,0.00003494959,0.0006132668,0.00009221717,0.00300239],"genre_scores_gemma":[0.9939667,0.00006260038,0.004823558,0.000005455238,0.00000116918,0.000009459351,0.0001940961,0.000007503679,0.0009293534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1211734,"threshold_uncertainty_score":0.2409362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03395726343316891,"score_gpt":0.2913360437513099,"score_spread":0.257378780318141,"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."}}