{"id":"W6910696985","doi":"10.5065/d6dn434r","title":"Beaufort Sea Sediment Core Lipid Analysis, Station 5 (ASCII). Version 1.0","year":2007,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Sediment core; Benthos; Seabed; Beaufort sea; Core (optical fiber); Sediment","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":[0.001258336,0.002526758,0.001486474,0.006437068,0.0008353764,0.001959113,0.00306855,0.001118738,0.02280576],"category_scores_gemma":[0.002883774,0.001229818,0.00105732,0.01078687,0.0003905759,0.000804453,0.001481953,0.001498898,0.03200046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742225,"about_ca_system_score_gemma":0.003917605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1962805,"about_ca_topic_score_gemma":0.2215338,"domain_scores_codex":[0.9988746,0.0000924311,0.0001197007,0.0002331556,0.0004265273,0.0002535605],"domain_scores_gemma":[0.9970379,0.0002879397,0.0004819851,0.000696704,0.001185588,0.0003099231],"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":[0.0001247225,0.00003880796,0.003496037,0.0003978773,0.0000666198,0.00004889018,0.00005604507,0.0004617452,0.0004043762,0.0002469383,0.9900534,0.004604617],"study_design_scores_gemma":[0.0003033055,0.00003959116,0.07805082,0.0002163783,0.00005786358,0.00006810088,0.0001263756,0.0008185619,0.001309281,0.0005058919,0.9184301,0.00007380341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003318871,0.0000147451,0.00006088085,0.0000123732,0.000006839455,0.000009395645,0.9988837,0.0002664512,0.0004137981],"genre_scores_gemma":[0.0004799234,0.00001446636,0.000226004,0.000008720908,0.000002772055,0.00003096292,0.9987608,0.0000820623,0.000394279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1962805,"threshold_uncertainty_score":0.390276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024438361857417,"score_gpt":0.284245294747604,"score_spread":0.259806932890187,"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."}}