{"id":"W7028370050","doi":"","title":"ESONET - European Seas Observatory NETwork. Network of Excellence (NoE). Periodic activity report : version #1 30 June 2009","year":2009,"lang":"en","type":"article","venue":"Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observatory; Excellence; Core (optical fiber); Subject (documents); Working group; Node (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005716682,0.001446686,0.0009509623,0.00274536,0.0006782548,0.004865004,0.002193059,0.001903002,0.1393965],"category_scores_gemma":[0.007571836,0.0006594713,0.0006284452,0.005445498,0.0003891104,0.002929313,0.002423416,0.001189928,0.153112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002053396,"about_ca_system_score_gemma":0.006202215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02890346,"about_ca_topic_score_gemma":0.01936425,"domain_scores_codex":[0.9971862,0.0004506561,0.0004347189,0.0004016369,0.001231232,0.0002955151],"domain_scores_gemma":[0.9949257,0.0004945704,0.0006579068,0.0010371,0.002386256,0.0004985351],"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":[0.0002762803,0.0000595761,0.001762958,0.0007514681,0.00001739573,0.00005644318,0.00009271051,0.0004075844,0.0006201912,0.003187472,0.9273254,0.06544245],"study_design_scores_gemma":[0.00004121925,0.00003256124,0.006254027,0.0002636534,0.000006135669,0.00003407826,0.0000590014,0.0001694705,0.0003586614,0.0006174122,0.9921433,0.00002047635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003972138,0.004571942,0.007813894,0.003259788,0.005855761,0.001689049,0.6451396,0.003755367,0.3239425],"genre_scores_gemma":[0.01151657,0.003439638,0.01439513,0.0008599795,0.0003222055,0.001566341,0.6751909,0.003283089,0.2894262],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1393965,"threshold_uncertainty_score":0.4663278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04068113035033861,"score_gpt":0.3170984369902956,"score_spread":0.276417306639957,"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."}}