{"id":"W4232047542","doi":"10.21203/rs.3.rs-63972/v1","title":"Movement Ecology of Potamodromous Top Predator in a Large Lake: Synchrony and Coexistence of Distinct Migratory Patterns ","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey; U.S. Fish and Wildlife Service; University of Windsor; Great Lakes Fishery Commission; New York State Department of Environmental Conservation","keywords":"Predator; Ecology; Apex predator; Movement (music); Geography; Biology; Predation; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001157518,0.0001068227,0.0001652897,0.0003946458,0.0004852807,0.0002972505,0.0001528017,0.0002320076,0.002016054],"category_scores_gemma":[0.0004833219,0.0001465699,0.0001086659,0.0002625345,0.0002787059,0.0003531857,0.0005217641,0.000142668,0.0001447094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003430209,"about_ca_system_score_gemma":0.0003100688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01294231,"about_ca_topic_score_gemma":0.0403365,"domain_scores_codex":[0.9999586,0.000005874268,0.000002246032,0.00001386111,0.000005236835,0.00001413708],"domain_scores_gemma":[0.9997683,0.00005376295,0.00005114308,0.000008967877,0.00002798196,0.00008978356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008047692,0.0001411446,0.92077,0.00003757005,0.0000643648,0.0007716083,0.001887132,0.001842033,0.06723197,0.0003018348,0.0005603771,0.005587231],"study_design_scores_gemma":[0.00000782363,0.00006805346,0.9967009,0.000001500825,0.000008397436,0.00008361066,0.0004098689,0.002323931,0.0002870907,0.00005236045,0.00005255606,0.000003812631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998603,0.000003779681,0.00001649808,0.000004803564,3.504564e-7,5.059892e-7,0.00002088616,0.000001206755,0.00009161574],"genre_scores_gemma":[0.9997715,0.00000368543,0.00004625248,0.000002626346,6.55953e-7,0.000001406283,0.0000341519,9.878804e-7,0.0001385782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01294231,"threshold_uncertainty_score":0.02573395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0402384561113676,"score_gpt":0.3273626544493087,"score_spread":0.2871241983379411,"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."}}