{"id":"W6929695624","doi":"10.5065/d61r6nm1","title":"AOS-94 Cruise Neutral Lipids (Excel). Version 1.0","year":2007,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Immunodeficiency and Autoimmune Disorders","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Cruise; Coast guard; Arctic; The arctic; Data set; High resolution","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001418614,0.002131254,0.001285915,0.004337699,0.0006890827,0.001909499,0.002593831,0.00144041,0.02946099],"category_scores_gemma":[0.004794557,0.0007997467,0.001203252,0.006418067,0.000397184,0.0008759021,0.001689872,0.001780072,0.04380916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182414,"about_ca_system_score_gemma":0.002478382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02085161,"about_ca_topic_score_gemma":0.03029807,"domain_scores_codex":[0.9990627,0.0001241671,0.0001506428,0.0002301538,0.0002826963,0.0001496116],"domain_scores_gemma":[0.9978871,0.0006462553,0.0003304946,0.0004297023,0.000514573,0.0001919299],"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":[0.0002611464,0.00006242508,0.004483398,0.001156209,0.00009781743,0.00007203978,0.00007065975,0.0008554907,0.0005728084,0.0005905611,0.985509,0.006268644],"study_design_scores_gemma":[0.0004793257,0.00003833247,0.02338015,0.000270834,0.00007097136,0.00009789622,0.0001564204,0.0009452197,0.001484584,0.001381347,0.9716285,0.00006647955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002600219,0.00001686662,0.00006146543,0.00001635858,0.000006274868,0.000008082056,0.9991622,0.0002405769,0.0002280745],"genre_scores_gemma":[0.0003718822,0.00001718723,0.0002863298,0.00001084968,0.000002203589,0.00006234633,0.9989384,0.00005623166,0.000254652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02946099,"threshold_uncertainty_score":0.09855688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375180679552962,"score_gpt":0.2958715235870013,"score_spread":0.2721197167914716,"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."}}