{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002372652,0.0002102386,0.0002898808,0.0001006525,0.0005028899,0.00001714539,0.0007791863,0.00009730117,0.00002196416],"category_scores_gemma":[0.001797156,0.000179141,0.0002737681,0.0003944157,0.001313031,0.00006286775,0.0003324479,0.000364459,0.00000622344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005488143,"about_ca_system_score_gemma":0.0008191555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000166408,"about_ca_topic_score_gemma":0.0000826535,"domain_scores_codex":[0.9971166,0.0004350023,0.0006778517,0.0003491195,0.0009745524,0.0004468724],"domain_scores_gemma":[0.9975401,0.0001295885,0.000571759,0.0006872324,0.0009439519,0.0001273811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00148366,0.0009675469,0.01349237,0.0008677808,0.0004507395,0.00002533367,0.0008827722,0.472405,0.2514247,0.01875982,0.2248942,0.01434607],"study_design_scores_gemma":[0.003875876,0.003226615,0.2754682,0.001621834,0.0001291137,0.0001225166,0.0001792708,0.02515376,0.0639094,0.01207973,0.6132884,0.0009452655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9123917,0.0008069488,0.06186068,0.001831841,0.001311462,0.001595345,0.000588963,0.0000302888,0.01958274],"genre_scores_gemma":[0.9796031,0.000155,0.01853906,0.00008947531,0.0003739895,0.00002210445,0.000660056,0.00001554651,0.0005417442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4472512,"threshold_uncertainty_score":0.7305158,"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."}}