{"id":"W6995738268","doi":"","title":"Pirate Perch records from New York’s Great Lakes watersheds, historical to 2022","year":2022,"lang":"en","type":"other","venue":"SUNY Digital Repository Support (State University of New York System)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Threatened species; STREAMS; Marsh; Range (aeronautics); Netting; Perch","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001508343,0.0002711135,0.0001768449,0.001570469,0.0007062686,0.0005830398,0.0004164756,0.0002223269,0.003224625],"category_scores_gemma":[0.0004018278,0.0003106721,0.0001305078,0.00184221,0.0003787634,0.0005525344,0.0009545211,0.0003760619,0.001130832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257524,"about_ca_system_score_gemma":0.001313649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4107523,"about_ca_topic_score_gemma":0.7810805,"domain_scores_codex":[0.9998288,0.000007179521,0.00001666556,0.00006139994,0.00005857902,0.00002732652],"domain_scores_gemma":[0.999584,0.0000182912,0.0001002097,0.00002492329,0.0001680024,0.0001045636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005805916,0.00004379072,0.9627022,0.0001388075,0.00007635088,0.0002262403,0.001912311,0.0001078843,0.002158939,0.0001994257,0.0211327,0.01124344],"study_design_scores_gemma":[0.000002893951,0.000006678567,0.9905529,0.00002032811,0.000009250298,0.00005786108,0.0008583731,0.00005942004,0.0001129584,0.00001241789,0.00830268,0.000004356894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9480575,0.0006298741,0.0002024639,0.0002213317,0.00004313436,0.00006442465,0.03846263,0.00006069916,0.0122578],"genre_scores_gemma":[0.9226051,0.001540894,0.001021331,0.000239681,0.00005368932,0.0003766092,0.05853058,0.00004128096,0.01559082],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4107523,"threshold_uncertainty_score":0.8167229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418318953500471,"score_gpt":0.1743039342100922,"score_spread":0.1601207446750875,"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."}}