{"id":"W6892265086","doi":"10.5065/d6930r8f","title":"Chukchi Sea Sediment Core Lipid Analysis, Station F9 (Excel). 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; Core (optical fiber); Sediment; Data set; Seawater","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":[0.001071686,0.001926809,0.001286364,0.005768079,0.000985494,0.001889658,0.00279369,0.001046019,0.03372787],"category_scores_gemma":[0.003080558,0.001141376,0.0009636937,0.00985241,0.0003666759,0.00101931,0.001676538,0.001700863,0.04000694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001865957,"about_ca_system_score_gemma":0.005378534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.050905,"about_ca_topic_score_gemma":0.0864552,"domain_scores_codex":[0.9993008,0.00004627782,0.0001397993,0.0001640048,0.0001761889,0.0001727679],"domain_scores_gemma":[0.9979206,0.000360016,0.0002702236,0.0004473898,0.0008010311,0.0002006812],"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":[0.0003202627,0.00007149088,0.006123628,0.00210799,0.0001274995,0.0001113671,0.000179605,0.0008196231,0.001576868,0.0008055433,0.9757185,0.01203772],"study_design_scores_gemma":[0.0003418292,0.00003547763,0.05183901,0.0004484915,0.0001196341,0.00008917486,0.0002789638,0.0008902536,0.002701739,0.001046467,0.9420946,0.0001143558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002507478,0.000005554743,0.00006534182,0.000008936386,0.000003786077,0.00001299739,0.999111,0.0001862886,0.0003552512],"genre_scores_gemma":[0.0004402409,0.00001309931,0.0004330307,0.000007513426,0.000001257122,0.0001235075,0.9984616,0.00009547031,0.0004243334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.050905,"threshold_uncertainty_score":0.1128309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04982104382464112,"score_gpt":0.3599947073363098,"score_spread":0.3101736635116687,"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."}}