{"id":"W6948344513","doi":"10.5065/d6vx0dm1","title":"Beaufort Sea Sediment Core Lipid Analysis, Station 10 (ASCII). Version 1.0","year":2007,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"Research Data Management Practices","field":"Computer Science","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; Buoy","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003372367,0.0005047943,0.0005681149,0.001493015,0.0003960871,0.002487832,0.005013037,0.000325115,0.0007997491],"category_scores_gemma":[0.0007368663,0.0005230992,0.0001738191,0.005007925,0.00008558427,0.01373355,0.002806597,0.0008988343,0.001324513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002145563,"about_ca_system_score_gemma":0.000636233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006526065,"about_ca_topic_score_gemma":0.001397529,"domain_scores_codex":[0.9941469,0.0004190951,0.0006771554,0.001435388,0.002460384,0.0008610982],"domain_scores_gemma":[0.9935278,0.0004752384,0.0007822358,0.004114087,0.0007117609,0.0003888208],"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":[0.00002070329,0.000115987,0.0005277117,0.0002033707,0.0006118921,0.0001693959,0.00002255343,0.0003051159,0.00002744044,0.0001828029,0.9973369,0.0004761728],"study_design_scores_gemma":[0.0002891652,0.0001270231,0.006818229,0.00006739023,0.0003623654,5.713333e-7,0.0000299391,0.00208145,0.00007539137,0.000007712058,0.9896432,0.000497603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005083157,0.0005582728,0.01183308,0.0003985613,0.001268097,0.0005938695,0.9843677,0.000249291,0.0002228309],"genre_scores_gemma":[0.00003271386,0.001411638,0.008710695,0.0009607952,0.0003813934,0.00002829185,0.9872581,0.00002640932,0.001189921],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01124572,"threshold_uncertainty_score":0.9997221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06067086849266325,"score_gpt":0.3378392080175391,"score_spread":0.2771683395248759,"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."}}