{"id":"W2764074890","doi":"10.1089/zeb.2017.1518","title":"Zebrafish Ride the Danube's Wave for the 10th European Zebrafish Meeting","year":2017,"lang":"en","type":"article","venue":"Zebrafish","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; GDG Environnement","funders":"","keywords":"Zebrafish; Fish <Actinopterygii>; Library science; Biology; Art history; History; Fishery; Computer science","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","sts"],"consensus_categories":[],"category_scores_codex":[0.00273995,0.0003972345,0.0002918464,0.0000532098,0.00325718,0.0008840252,0.003280072,0.0002086307,0.00009216257],"category_scores_gemma":[0.005356489,0.0002530226,0.0003936123,0.0001499915,0.001270753,0.00003158629,0.001458703,0.000485463,0.0001327941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004023985,"about_ca_system_score_gemma":0.0001886041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001398575,"about_ca_topic_score_gemma":0.0004191118,"domain_scores_codex":[0.9965671,0.000287067,0.00053566,0.0009125093,0.0006547115,0.001042961],"domain_scores_gemma":[0.9951006,0.0004748498,0.0004187971,0.00329104,0.0003559121,0.0003588542],"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":[0.0002558902,0.0002902096,0.00112369,0.00007290916,0.0005843701,0.00002282112,0.0002348085,0.00001801781,0.2246448,0.003611109,0.7162254,0.05291595],"study_design_scores_gemma":[0.001343045,0.0002411816,0.02336759,0.00004496774,0.00008912485,0.00003261537,0.0002414729,0.0005768698,0.05046671,0.0009773702,0.9221636,0.0004554321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4730517,0.003243027,0.03208433,0.1988467,0.003094075,0.0113657,0.001407778,0.0005628539,0.2763438],"genre_scores_gemma":[0.9859994,0.0002337575,0.0008407345,0.004697448,0.002795547,0.0005373416,0.0002425589,0.0001483117,0.004504895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5129477,"threshold_uncertainty_score":0.9999922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02963754092670278,"score_gpt":0.301159567380641,"score_spread":0.2715220264539382,"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."}}