{"id":"W2889101322","doi":"10.1002/rra.3339","title":"Evaluation of fish habitat suitability using a coupled ecohydraulic model: Habitat model selection and prediction","year":2018,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China","keywords":"Habitat; Environmental science; Fish habitat; Fishery; Selection (genetic algorithm); Fuzzy logic; Fish <Actinopterygii>; Ecology; Hydrology (agriculture); Biology; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004347973,0.0004914594,0.0004456106,0.0004472202,0.0002807177,0.0005704296,0.0006286243,0.0005426824,0.0008557441],"category_scores_gemma":[0.0007471559,0.0002984651,0.0006026461,0.000307661,0.000337964,0.000397144,0.000435022,0.0002770765,0.00008340325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008101518,"about_ca_system_score_gemma":0.000842141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03971781,"about_ca_topic_score_gemma":0.02104221,"domain_scores_codex":[0.999882,0.00003534958,0.00000753431,0.00003223399,0.0000224028,0.00002054329],"domain_scores_gemma":[0.9997222,0.0001130644,0.00004508881,0.0000163318,0.00007457755,0.00002877783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001951196,0.0000184659,0.004224901,0.000005362013,0.00001892939,0.00001823162,0.00001137256,0.9932805,0.000645999,0.0001407193,0.00002841166,0.001587752],"study_design_scores_gemma":[0.000002616964,0.000008932981,0.0006811622,5.251351e-7,0.00000248366,0.000001667287,0.000003733657,0.9991867,0.0000644265,0.00003639417,0.000009721587,0.000001641743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9145836,0.00003865852,0.08300368,0.00006880488,0.000010418,0.0000479316,0.0001286607,0.0001169633,0.002001331],"genre_scores_gemma":[0.9953987,0.00001263087,0.004056664,0.000009445185,0.000001821971,0.00003047858,0.00004191613,0.000005138256,0.0004433515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03971781,"threshold_uncertainty_score":0.07897329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08763793161016382,"score_gpt":0.3586947089684917,"score_spread":0.2710567773583279,"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."}}