{"id":"W6911354085","doi":"10.5281/zenodo.10692616","title":"Aphredoderus gibbosus Lesueur 1833","year":2024,"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":"Fish <Actinopterygii>; Ditch; River valley; STREAMS","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":[0.00007704818,0.0003364801,0.0002020414,0.001237761,0.001056019,0.0002851629,0.0002083774,0.0002990989,0.01303008],"category_scores_gemma":[0.0001903079,0.000104421,0.00009319675,0.0006285599,0.0003062507,0.0003687682,0.0003396199,0.0001799439,0.002774045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007996808,"about_ca_system_score_gemma":0.0001857298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02556006,"about_ca_topic_score_gemma":0.08821798,"domain_scores_codex":[0.9999458,0.000008535025,0.000004388973,0.00001511749,0.00001536218,0.00001078638],"domain_scores_gemma":[0.999963,0.000008513977,0.00001013622,0.000002506248,0.00001052217,0.000005317328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000884061,0.0000864825,0.1629509,0.0009663561,0.00008572057,0.0066158,0.006726149,0.0006290802,0.05940827,0.004459125,0.05151745,0.7056707],"study_design_scores_gemma":[0.00005221292,0.0001983826,0.6977553,0.0005318577,0.000055282,0.004294973,0.003089492,0.0002697998,0.002923214,0.0007497806,0.2900549,0.000024787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6299957,0.01189548,0.001537126,0.0004586378,0.0003194223,0.0001679274,0.00347461,0.0004723638,0.3516787],"genre_scores_gemma":[0.9672322,0.001606839,0.001229561,0.0002673008,0.00005255109,0.00005607848,0.001506128,0.00002679904,0.02802248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02556006,"threshold_uncertainty_score":0.05082256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805408882322889,"score_gpt":0.2400309130817741,"score_spread":0.2119768242585452,"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."}}