{"id":"W2619308922","doi":"10.1186/s13750-017-0093-z","title":"What are the impacts of flow regime changes on fish productivity in temperate regions? A systematic map protocol","year":2017,"lang":"en","type":"article","venue":"Environmental Evidence","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Carleton University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Université de Montréal; University of Washington","keywords":"Productivity; Ecosystem; Sustainability; Environmental resource management; Streamflow; Ecology; Habitat; Environmental science; Geography; Natural resource economics; Fishery; Biology; Economics; Drainage basin","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001014831,0.0002076999,0.0003134083,0.0000316755,0.0005441216,0.000091562,0.0006802587,0.00005940762,0.00017141],"category_scores_gemma":[0.0003843002,0.000140579,0.00004999878,0.00005345729,0.0008474825,0.0009490447,0.0007586736,0.0001741734,0.000251786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347418,"about_ca_system_score_gemma":0.000003695883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008113617,"about_ca_topic_score_gemma":0.004444471,"domain_scores_codex":[0.9983658,0.0002574005,0.0002516333,0.0004603684,0.0003658245,0.0002990401],"domain_scores_gemma":[0.9982023,0.0001538188,0.0005038868,0.001093374,0.00000169399,0.00004492739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002720508,0.0007201601,0.9742517,0.004377749,0.00007778806,0.00006326056,0.002588385,0.0005295594,0.002669997,0.0000369529,0.01389316,0.000519189],"study_design_scores_gemma":[0.0003166657,0.0002268096,0.9899544,0.0054361,0.00002481381,0.000004750786,0.001188598,0.000109212,0.001972697,0.000153456,0.0004269517,0.000185549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8864329,0.0001162557,0.000005822745,0.04266924,0.0003960294,0.06976973,0.000005741739,0.0000329495,0.0005713685],"genre_scores_gemma":[0.9719923,0.0002082317,0.00002947847,0.000731881,0.00003111375,0.02542755,5.766177e-7,0.00001197255,0.001566896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08555943,"threshold_uncertainty_score":0.5732645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03199270904702359,"score_gpt":0.2717965042206472,"score_spread":0.2398037951736236,"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."}}