{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002796196,0.001100423,0.001319767,0.002195114,0.0005068888,0.0002538445,0.001285191,0.001029858,0.003566713],"category_scores_gemma":[0.0003946891,0.001220357,0.0004433714,0.007049779,0.0001804918,0.0006459678,0.000547832,0.001497369,0.01467171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007290032,"about_ca_system_score_gemma":0.001168127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001285913,"about_ca_topic_score_gemma":0.007545705,"domain_scores_codex":[0.9929254,0.0004146514,0.001226848,0.001564921,0.002617277,0.00125091],"domain_scores_gemma":[0.9934857,0.0002833244,0.00135079,0.002891453,0.001337185,0.0006515682],"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":[0.0001154769,0.0002242887,0.00778244,0.0002942845,0.001564421,0.0001622458,0.00006865046,0.001232275,0.000454862,0.000003605991,0.9880252,0.00007228705],"study_design_scores_gemma":[0.0007819162,0.000132903,0.03088796,0.000202254,0.003070476,0.000001315828,0.0001106553,0.0003082051,0.0004062136,0.000003244417,0.962961,0.001133837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0191496,0.001098558,0.00002942515,0.00002966246,0.001922675,0.0007303272,0.9765119,0.0004646459,0.00006320284],"genre_scores_gemma":[0.0002785462,0.0002413902,0.0009971621,0.0008964532,0.001095834,0.00003792143,0.996038,0.0002119527,0.0002027163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02506414,"threshold_uncertainty_score":0.9990246,"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."}}