{"id":"W6929587743","doi":"10.5065/d6z0368t","title":"Beaufort Sea Sediment Core Lipid Analysis, Station 10 (Excel). Version 1.0","year":2007,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Sediment core; Benthos; Beaufort sea; Seabed; Core (optical fiber); Sediment; Data set","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003448646,0.0003488376,0.0003417673,0.0002145831,0.0002055705,0.00006739864,0.0003699263,0.0005032312,0.00125514],"category_scores_gemma":[0.00005495501,0.0003712609,0.0001837664,0.0004863703,0.00005195986,0.00001017649,0.000236216,0.0002335692,0.0002153764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005139038,"about_ca_system_score_gemma":0.0003901923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002559874,"about_ca_topic_score_gemma":0.001097827,"domain_scores_codex":[0.9982184,0.00008108624,0.0004265099,0.0005512895,0.0003471125,0.000375604],"domain_scores_gemma":[0.9982634,0.00001965575,0.0003178265,0.0008773009,0.0003724678,0.000149384],"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":[0.00004510104,0.00006800915,0.002204135,0.00009749561,0.0005879284,0.00001066046,0.00002108036,0.0004445946,0.002912329,0.000003511644,0.9935615,0.00004362152],"study_design_scores_gemma":[0.0003036993,0.0001636744,0.007822243,0.0000243319,0.0005161353,0.000001247677,0.00008496017,0.00002494829,0.004193641,0.00000208376,0.9864641,0.0003989533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.088028,0.0007776972,0.00006587954,0.00002607967,0.0005721391,0.0001912857,0.9102257,0.000022816,0.00009034103],"genre_scores_gemma":[0.005604669,0.0003940814,0.000438595,0.0004652606,0.0008036122,0.00001739589,0.9910432,0.00002833805,0.001204856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08242333,"threshold_uncertainty_score":0.9998739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217976540306601,"score_gpt":0.2441701178271763,"score_spread":0.2319903524241103,"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."}}