{"id":"W2045380808","doi":"10.1080/15715124.2003.9635213","title":"Developing habitat suitability criteria for water management: A case study","year":2003,"lang":"en","type":"article","venue":"International Journal of River Basin Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Wetland; Habitat; Environmental science; Watershed; Esox; Hydrology (agriculture); Bioindicator; Water level; Marsh; Water quality; Ecology; Fishery; Pike; Geography; Fish <Actinopterygii>","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001366681,0.0001712627,0.0002003321,0.0001720677,0.0001972029,0.00006477097,0.0004547886,0.00002641226,0.0008023295],"category_scores_gemma":[0.00003233673,0.0001341158,0.0001164931,0.00008533744,0.0001193724,0.0003742617,0.0004965579,0.00008040246,0.00008030055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004016343,"about_ca_system_score_gemma":0.000003535419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002024052,"about_ca_topic_score_gemma":0.0002203677,"domain_scores_codex":[0.9983692,0.0001288012,0.0004944233,0.0002793569,0.0004481222,0.0002801651],"domain_scores_gemma":[0.9994736,0.00005952122,0.000167592,0.0001682719,0.00008141111,0.00004954853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006627043,0.003480236,0.786015,0.0002248691,0.007204696,0.03270026,0.00781459,0.001553411,0.00003373039,0.02320234,0.1188239,0.01828427],"study_design_scores_gemma":[0.00924333,0.0007559209,0.5484292,0.00008594214,0.0008430989,0.001390731,0.02239477,0.0001112749,0.0004440479,0.04375493,0.3717359,0.0008108699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402695,0.000009269492,0.03122182,0.002152588,0.001788368,0.001057242,0.000004334091,0.00001974782,0.02347711],"genre_scores_gemma":[0.9639406,0.00003346637,0.03348378,0.001026588,0.00004482201,0.00006169167,0.000002010534,0.00001291088,0.001394195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.252912,"threshold_uncertainty_score":0.8784945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356608572249406,"score_gpt":0.2976895443041392,"score_spread":0.2741234585816452,"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."}}