{"id":"W2096190198","doi":"10.2973/odp.proc.sr.164.222.2000","title":"Further investigations of shipboard vs. shore-based spectral data: implications for interpreting Leg 164 sediment composition","year":2000,"lang":"en","type":"book-chapter","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shore; Composition (language); Oceanography; Sediment; Geology; Physical geography; Geography; Geomorphology; Art; Literature","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002800766,0.0005215423,0.0005046521,0.00159331,0.0006031351,0.001470588,0.0004680538,0.0003777998,0.002304002],"category_scores_gemma":[0.006700083,0.0001991222,0.000598624,0.002796164,0.0004079879,0.0008696119,0.0003851354,0.0003985332,0.0005054565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005775008,"about_ca_system_score_gemma":0.0003144889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01239139,"about_ca_topic_score_gemma":0.03590317,"domain_scores_codex":[0.9993212,0.0003155247,0.0000899675,0.00008377332,0.0001238336,0.0000657424],"domain_scores_gemma":[0.9951298,0.002681833,0.0006992313,0.0002525205,0.001090369,0.0001462643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001616357,0.0002572062,0.6971739,0.0007092854,0.000502457,0.001025383,0.003247652,0.001890437,0.1870236,0.0004198225,0.001183018,0.1049509],"study_design_scores_gemma":[0.00001397934,0.0002935152,0.9788588,0.00005022871,0.0001466657,0.0001972339,0.00260097,0.002918462,0.01172833,0.0002381985,0.002922205,0.00003128769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867685,0.0002651153,0.007335173,0.0001641171,0.00003869418,0.00007799595,0.001446413,0.0001075423,0.003796461],"genre_scores_gemma":[0.9810301,0.0001836173,0.01632763,0.0001736574,0.00001693078,0.00004067379,0.0009613906,0.0001500075,0.00111608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239139,"threshold_uncertainty_score":0.02463853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04588861438031503,"score_gpt":0.2653783589971899,"score_spread":0.2194897446168748,"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."}}