{"id":"W6892101233","doi":"10.5065/d63f4mqq","title":"Chukchi Sea Sediment Core Lipid Analysis, Station C1 (ASCII). Version 1.0","year":2007,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Sediment core; Core (optical fiber); Sediment; Seawater; ASCII; Buoy","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":[0.0008724482,0.00286627,0.001558815,0.005132935,0.001057199,0.001891605,0.003277252,0.001589226,0.02510687],"category_scores_gemma":[0.002458805,0.00108921,0.00124538,0.009123244,0.0004819076,0.0008326902,0.00208177,0.001754886,0.04422769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739221,"about_ca_system_score_gemma":0.004654264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08497027,"about_ca_topic_score_gemma":0.1448292,"domain_scores_codex":[0.9993265,0.00004758686,0.00009293538,0.0001785874,0.0001767734,0.000177688],"domain_scores_gemma":[0.9982485,0.0002255757,0.0002430093,0.0004224258,0.0006164425,0.00024409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002308989,0.00005227573,0.004308665,0.001375765,0.0001156582,0.00009138104,0.0000913272,0.0005547446,0.0008111721,0.000341981,0.9875166,0.004509394],"study_design_scores_gemma":[0.0004377015,0.00003782769,0.05824122,0.0004160048,0.0001474836,0.000104684,0.0002372396,0.0008340318,0.001776617,0.0007279711,0.9369269,0.0001124024],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002112578,0.00001007134,0.00002453822,0.000008097119,0.000005251333,0.000005754951,0.9994372,0.0001216355,0.0001761956],"genre_scores_gemma":[0.0002854988,0.00001139759,0.0001097924,0.00000518343,0.000001330356,0.00003451508,0.999294,0.0000381944,0.0002199465],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08497027,"threshold_uncertainty_score":0.1689514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04899443636452796,"score_gpt":0.3610507327318591,"score_spread":0.3120562963673312,"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."}}