{"id":"W3169494587","doi":"","title":"CANADIAN GEESE MANAGEMENT METHODS IN INDIAN LAKE","year":2020,"lang":"en","type":"article","venue":"","topic":"Geotourism and Geoheritage Conservation","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Waterfowl; Geography; Indian ocean; Fishery; Ecology; Oceanography; Geology; Biology","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":[0.00153762,0.0002889335,0.0002574329,0.002169643,0.003739189,0.001426063,0.001427309,0.0002088355,0.002756417],"category_scores_gemma":[0.004740295,0.00017737,0.0002816858,0.004345333,0.0006566059,0.0005046909,0.001163272,0.000441992,0.0001593808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02749231,"about_ca_system_score_gemma":0.03298587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9895436,"about_ca_topic_score_gemma":0.9976823,"domain_scores_codex":[0.9987617,0.000347495,0.00007499993,0.0001570676,0.0004331369,0.0002256413],"domain_scores_gemma":[0.9976606,0.0004156677,0.0002447538,0.00008585014,0.001288776,0.0003043399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007714503,0.0003849962,0.5544922,0.0006024496,0.0001866751,0.0004241708,0.02738609,0.007200792,0.00298043,0.006114789,0.01179448,0.3876615],"study_design_scores_gemma":[0.00003766438,0.0001529073,0.9290642,0.0001909565,0.0001592217,0.0001229518,0.02808775,0.00762303,0.001262648,0.0005406079,0.03265269,0.0001054003],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9640939,0.001437172,0.002019381,0.0008661636,0.00003657082,0.0002901587,0.001155032,0.00009144925,0.03001013],"genre_scores_gemma":[0.976397,0.001084397,0.007385428,0.0001118566,0.000007255836,0.0001506047,0.0005251493,0.00003324013,0.01430511],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02749231,"threshold_uncertainty_score":0.1994716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352179287622856,"score_gpt":0.2476053959939747,"score_spread":0.2240836031177461,"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."}}