{"id":"W6892265449","doi":"10.5065/d6vd6wj1","title":"Beaufort Sea Sediment Core Lipid Analysis, Station 44 (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; Beaufort sea; Core (optical fiber); Sediment; Buoy; Seabed","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":[0.001502144,0.002977822,0.001791167,0.006010366,0.001020434,0.002480536,0.003537323,0.001752785,0.02737093],"category_scores_gemma":[0.003775786,0.001382998,0.001601486,0.009692247,0.0005585061,0.0009113246,0.002063337,0.001930554,0.04857832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001927679,"about_ca_system_score_gemma":0.004000189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1252247,"about_ca_topic_score_gemma":0.1577244,"domain_scores_codex":[0.9987189,0.0001228347,0.0001344373,0.0003043172,0.0004355295,0.0002841175],"domain_scores_gemma":[0.9970393,0.0005045605,0.000407548,0.0007161747,0.0009825288,0.0003498839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001230714,0.00003255939,0.002222467,0.0005951908,0.00006939019,0.00004967983,0.00005767233,0.0004529713,0.0003989513,0.0002875052,0.992281,0.00342951],"study_design_scores_gemma":[0.0003453123,0.00003373358,0.03774065,0.0002750545,0.00006371841,0.0000717871,0.0001269295,0.0005976359,0.001007979,0.0007484055,0.9589043,0.00008449824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001995033,0.00001871998,0.00004863647,0.00001406564,0.000008061212,0.00000619765,0.999171,0.0002433742,0.0002904445],"genre_scores_gemma":[0.0002831486,0.00001537421,0.0001547854,0.000009586388,0.000002622278,0.00002701603,0.9991515,0.00007537064,0.000280574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1252247,"threshold_uncertainty_score":0.2489917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04962831428355453,"score_gpt":0.3608887974632799,"score_spread":0.3112604831797254,"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."}}