{"id":"W1946710651","doi":"10.1007/s00027-015-0400-0","title":"Historical ecology of riverine fish in Europe","year":2015,"lang":"en","type":"article","venue":"Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Austrian Science Fund","keywords":"Ecology; Fish <Actinopterygii>; Geography; Fishery; Environmental science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008294505,0.00006732374,0.0001442748,0.001651787,0.0006341276,0.0009171877,0.0002330965,0.0002701794,0.001356731],"category_scores_gemma":[0.0010649,0.00007688883,0.0001206586,0.002153438,0.001074306,0.0007590425,0.0008911225,0.0001282225,0.0000796876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123241,"about_ca_system_score_gemma":0.0003752886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009437537,"about_ca_topic_score_gemma":0.02068583,"domain_scores_codex":[0.9996811,0.00007991568,0.00003115167,0.000112234,0.00004661601,0.00004905049],"domain_scores_gemma":[0.9995845,0.00009260103,0.0001404527,0.00002863628,0.00009074322,0.00006293451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007962179,0.00002944913,0.8127075,0.000254709,0.0002031004,0.0008987962,0.008966866,0.001962357,0.002366499,0.01552043,0.001487441,0.1555232],"study_design_scores_gemma":[0.00000167878,0.0000346129,0.9700488,0.00009360467,0.0000310511,0.000419062,0.002527375,0.0002581589,0.0001504502,0.001382386,0.02503948,0.00001321073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827905,0.006016529,0.001038503,0.0003715324,0.0000216232,0.000006198898,0.0002120324,0.00001013015,0.009532856],"genre_scores_gemma":[0.9952118,0.002903436,0.0005955664,0.00007584533,0.00001254829,0.000005201582,0.0001174162,0.000006125064,0.001071967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009437537,"threshold_uncertainty_score":0.01876521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03672487927232499,"score_gpt":0.2461310585061126,"score_spread":0.2094061792337876,"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."}}