{"id":"W2922812652","doi":"10.1111/cobi.13320","title":"Characterizing species co‐occurrence patterns of imperfectly detected stream fishes to inform species reintroduction efforts","year":2019,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Trent University; Ontario Ministry of Natural Resources and Forestry","keywords":"Notropis; Threatened species; Occupancy; Ecology; Biology; Habitat; Fishery","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001582311,0.0003306491,0.0003112704,0.001308658,0.0004501235,0.0006750186,0.0006021992,0.000318119,0.0009448094],"category_scores_gemma":[0.003948706,0.0003449714,0.000336206,0.0008610381,0.0005301802,0.0005194737,0.0007135542,0.0003083719,0.0001276814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001222811,"about_ca_system_score_gemma":0.0009323166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07262571,"about_ca_topic_score_gemma":0.2940687,"domain_scores_codex":[0.9994017,0.0001454054,0.00005013707,0.0002136891,0.0001013936,0.00008764783],"domain_scores_gemma":[0.9969624,0.0008093273,0.001519683,0.0002397738,0.0003159444,0.0001529218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002160929,0.00001355828,0.9917927,0.00002873049,0.00005893248,0.00002190981,0.0003247673,0.002576781,0.001178172,0.0001117148,0.00008913888,0.003781897],"study_design_scores_gemma":[0.000001816649,0.00002441024,0.9796883,0.0000107989,0.00004088687,0.00003612485,0.0003101502,0.01904071,0.000370967,0.000169072,0.0002954827,0.0000111777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995303,0.0000754556,0.003483146,0.0000258412,0.000002327927,0.0000287638,0.0004538535,0.00003172091,0.0005957758],"genre_scores_gemma":[0.9969439,0.00003066511,0.002551722,0.000005994225,0.000001524148,0.00001367737,0.000301864,0.000004517189,0.0001460182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07262571,"threshold_uncertainty_score":0.144406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159350904855411,"score_gpt":0.2307825554303767,"score_spread":0.2148474649448356,"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."}}