{"id":"W7053271168","doi":"","title":"Vegetational Changes as Related to Waterfowl Habitat in Artificial Lakes or Southwestern Saskatchewan,Canada","year":2016,"lang":"en","type":"article","venue":"SHAREOK (University of Oklahoma)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waterfowl; Habitat; Wetland; Population","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":[0.0002113859,0.0001563919,0.0001989223,0.001276033,0.001837151,0.000908943,0.0005915167,0.0002142785,0.001830894],"category_scores_gemma":[0.0009592093,0.0001688029,0.0002273579,0.002545729,0.00076332,0.0003473769,0.0007172098,0.0003185876,0.000208869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00865246,"about_ca_system_score_gemma":0.007867862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9662574,"about_ca_topic_score_gemma":0.9928404,"domain_scores_codex":[0.9997877,0.00002793011,0.00001319982,0.0000406699,0.00003710546,0.00009336916],"domain_scores_gemma":[0.9989395,0.0001051689,0.0002074253,0.00002882613,0.0003981088,0.0003210442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001281021,0.00002199861,0.9937484,0.00001613039,0.00003659685,0.0001152037,0.001483238,0.0001565276,0.0007133631,0.00009295884,0.0004002919,0.003087112],"study_design_scores_gemma":[0.000001300122,0.000005781365,0.9974955,0.000006319117,0.000004339575,0.00001586452,0.002163013,0.00008786811,0.00003608126,0.000008889739,0.0001724556,0.000002590538],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982517,0.0000824825,0.00003352351,0.00003493298,0.000002797309,0.000008001361,0.0007965475,0.000002667898,0.0007872558],"genre_scores_gemma":[0.9982392,0.0001443082,0.0001122387,0.00002511156,0.000001548639,0.00001180879,0.0005078597,0.000002909326,0.0009550769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03374261,"threshold_uncertainty_score":0.0678826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009420804571641874,"score_gpt":0.1785463417108573,"score_spread":0.1691255371392155,"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."}}