{"id":"W2735320733","doi":"10.18561/2179-5746/biotaamazonia.v7n2p11-14","title":"IMPACTS OF FISH FARM DAMS ON TEMPORAL AND SPATIAL DISTRIBUTION OF <i>Astyanax</i> cf. <i>bimaculatus</i> IN MICROBASINS OF THE MACHADO RIVER (RONDÔNIA, BRAZIL)","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fish ; Fishery; Geography; Distribution (mathematics); Spatial distribution; Environmental science; Biology; Statistics; Mathematics","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":[0.0002049932,0.0001294106,0.0001364162,0.0003832003,0.0002483556,0.0001995264,0.0001423175,0.0001270728,0.0007238949],"category_scores_gemma":[0.000609539,0.0001033185,0.000149811,0.0002886015,0.0003569395,0.0001729485,0.0004081606,0.0001425947,0.00007689287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005133616,"about_ca_system_score_gemma":0.0004362369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04034039,"about_ca_topic_score_gemma":0.1573377,"domain_scores_codex":[0.9998417,0.0000370353,0.00001114472,0.00004926259,0.00002766007,0.00003310818],"domain_scores_gemma":[0.9996728,0.00003997632,0.0001803888,0.00001613405,0.00004296505,0.00004770324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006596603,0.00004264586,0.9833722,0.00002403348,0.00002897821,0.0001452412,0.001320439,0.0001643816,0.006693479,0.00008579462,0.00008743948,0.007969493],"study_design_scores_gemma":[9.725554e-7,0.00005834784,0.9987689,0.000003348959,0.000007793889,0.00003062898,0.0006279608,0.0001451603,0.0001468803,0.00001420088,0.0001939601,0.00000192922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995993,0.00002604185,0.00003775724,0.000007033926,7.602279e-7,0.000002849127,0.0000404712,0.000001852453,0.0002841275],"genre_scores_gemma":[0.9996685,0.00002471089,0.0000897954,0.000003628586,6.511594e-7,0.000005092498,0.00004254627,5.070785e-7,0.0001646148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04034039,"threshold_uncertainty_score":0.08021116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06412305094270597,"score_gpt":0.4136170173039646,"score_spread":0.3494939663612586,"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."}}