{"id":"W6981802737","doi":"","title":"Feasibility of Reintroducing The River Otter (Lontra Canadensis) in South Dakota","year":2003,"lang":"en","type":"article","venue":"Open PRAIRIE (South Dakota State University)","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Vegetation (pathology); Riparian zone; Sinkhole; Otter","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":[0.0006684434,0.0001733721,0.00009354703,0.0003796713,0.0007831652,0.0005932926,0.0004350475,0.000215079,0.001131339],"category_scores_gemma":[0.0009708119,0.0001421469,0.0001526788,0.0002038627,0.0004176947,0.0003296621,0.0006264807,0.0002198175,0.0001776431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089858,"about_ca_system_score_gemma":0.001116917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1251499,"about_ca_topic_score_gemma":0.5718151,"domain_scores_codex":[0.9996818,0.00008275244,0.00003001972,0.0000845008,0.00004764552,0.00007321161],"domain_scores_gemma":[0.9993454,0.0001022439,0.0001968556,0.00003679469,0.0001257804,0.0001929397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000924969,0.00009112568,0.9890941,0.00003579945,0.00001934579,0.0002041631,0.001289865,0.0001544522,0.003811897,0.00008403735,0.0001760314,0.004946689],"study_design_scores_gemma":[0.000004123447,0.0001892429,0.9945702,0.00003073503,0.00002274285,0.0001253849,0.003684494,0.0002914627,0.0003565131,0.00001843092,0.0007015103,0.000005018773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987921,0.0000354572,0.00003311209,0.00003378265,0.00000220425,0.00001716431,0.00008664151,0.000001359326,0.0009981086],"genre_scores_gemma":[0.9988391,0.0001031472,0.0002304728,0.00003401436,0.000001232301,0.00002298083,0.0001572575,9.99665e-7,0.000610937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1251499,"threshold_uncertainty_score":0.2488429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006641020070014,"score_gpt":0.3228985858433392,"score_spread":0.2222344838363378,"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."}}