{"id":"W6948238654","doi":"10.5065/d6hx19tr","title":"Beaufort Sea Sediment Core Lipid Analysis, Station 44 (Excel). Version 1.0","year":2007,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Beaufort sea; Sediment core; Core (optical fiber); Sediment; Data set; Buoy; Seabed; Sea ice","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004317693,0.000401805,0.0004235923,0.0001958429,0.0002021255,0.00004453781,0.0003901266,0.000464776,0.0001283637],"category_scores_gemma":[0.00005853548,0.0004211415,0.0002006992,0.0004855951,0.00007156161,0.000001720243,0.0003502494,0.0002458933,0.00006654164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003502367,"about_ca_system_score_gemma":0.0002604646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000198057,"about_ca_topic_score_gemma":0.001360093,"domain_scores_codex":[0.9980848,0.00006913766,0.0004026692,0.0006789889,0.0003491161,0.0004152317],"domain_scores_gemma":[0.998268,0.00002579729,0.0003037824,0.0009366429,0.0003094511,0.0001563131],"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":[0.00004389475,0.00006021782,0.006571991,0.00008282626,0.001018489,0.00001070858,0.00001862107,0.0003824093,0.01935272,0.000001022633,0.9723246,0.0001325285],"study_design_scores_gemma":[0.0003078781,0.0001858547,0.02286058,0.00002166629,0.0006082965,6.212094e-7,0.00004546378,0.00001755866,0.005165763,0.000002415172,0.9703515,0.0004323763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1789782,0.003435304,0.0000309035,0.00002432369,0.0008081137,0.0002266032,0.816444,0.000008350512,0.00004423917],"genre_scores_gemma":[0.007300672,0.002371519,0.0005364134,0.0007626377,0.0008979875,0.00001821266,0.9878891,0.00003566071,0.0001877758],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1716775,"threshold_uncertainty_score":0.999824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502659045242053,"score_gpt":0.2540308779028368,"score_spread":0.2390042874504163,"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."}}