{"id":"W6930024184","doi":"10.5065/d6pk0d8j","title":"Chukchi Sea Sediment Core Lipid Analysis, Station F9 (ASCII). Version 1.0","year":2007,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Caveolin-1 and cellular processes","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; Core (optical fiber); Sediment; Seawater; ASCII; 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":[0.0004014095,0.0002914042,0.0003368129,0.0001589028,0.0001159365,0.0001325407,0.0006677915,0.0004452734,0.002701122],"category_scores_gemma":[0.00003746957,0.0002839428,0.0001782926,0.0003066735,0.00005589525,0.000006654148,0.000477983,0.000188741,0.000477794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003646957,"about_ca_system_score_gemma":0.0002499138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002602844,"about_ca_topic_score_gemma":0.001274624,"domain_scores_codex":[0.9983658,0.00003544802,0.0003211479,0.0006920404,0.0002992509,0.0002863448],"domain_scores_gemma":[0.9987656,0.00001268429,0.0002595572,0.000691574,0.0001360399,0.0001344854],"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":[0.0001407484,0.0001215319,0.00007540368,0.00003711569,0.000503244,0.00001907965,0.00001433973,0.00004840916,0.007051602,1.104815e-7,0.9880626,0.003925813],"study_design_scores_gemma":[0.0004526217,0.0001766222,0.00004849858,0.00002248346,0.0007710757,0.00000552656,0.00006436499,0.00001340911,0.05693161,0.000001490361,0.9411798,0.0003325659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02156268,0.0006580846,0.0001960791,0.00003388157,0.0003195152,0.0004012318,0.9759126,0.000001017385,0.0009149436],"genre_scores_gemma":[0.001611933,0.0007322706,0.0003590376,0.0001538213,0.0004574175,0.0000116283,0.9939327,0.00001706383,0.002724156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04988001,"threshold_uncertainty_score":0.9999613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194855850887055,"score_gpt":0.3161350814685639,"score_spread":0.2941865229596934,"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."}}