{"id":"W6892412165","doi":"10.5281/zenodo.10248754","title":"Mugil curema Valenciennes 1836","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mugil; Estuary; Littoral zone; Population; Mullet","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":[0.0001471505,0.0006805401,0.0003893922,0.001573341,0.0009498562,0.0005071053,0.0009764535,0.0006339426,0.04611443],"category_scores_gemma":[0.0005018041,0.0002252342,0.0001272144,0.0006164857,0.0005763035,0.0009423712,0.001019048,0.0006197536,0.009447122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445274,"about_ca_system_score_gemma":0.000261942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02473535,"about_ca_topic_score_gemma":0.05496227,"domain_scores_codex":[0.9998809,0.00000988712,0.000007656892,0.00004707525,0.00003832559,0.00001609068],"domain_scores_gemma":[0.9999239,0.00001259937,0.00002514588,0.000008348777,0.00001905113,0.00001088186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003502569,0.00006308392,0.01238373,0.0009612093,0.00005141522,0.002920079,0.004267365,0.0006584356,0.007897186,0.01224323,0.2154676,0.7427365],"study_design_scores_gemma":[0.00002572195,0.00008830929,0.05187028,0.0008361475,0.00004612821,0.001831095,0.001002816,0.0001352963,0.0005604377,0.001487981,0.9421021,0.00001377885],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06656279,0.01493132,0.001237928,0.00108021,0.001415106,0.0001894948,0.00513019,0.0004980782,0.9089549],"genre_scores_gemma":[0.7081607,0.008583813,0.003283099,0.001665379,0.0006325795,0.000276889,0.006798854,0.0001950826,0.2704036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04611443,"threshold_uncertainty_score":0.1542681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935690550861077,"score_gpt":0.240724447528967,"score_spread":0.2013675420203563,"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."}}