{"id":"W7003521834","doi":"","title":"Mute Swans","year":2018,"lang":"en","type":"article","venue":"Insecta mundi","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waterfowl; Introduced species; Endangered species; Threatened species; Wildlife; Aythya; Foraging; Vegetation (pathology); Invasive species; Black swan theory","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":[0.00008803303,0.0004763326,0.0001725421,0.0005211579,0.0007168012,0.0004717894,0.0002025987,0.0003605366,0.01555216],"category_scores_gemma":[0.0004243936,0.0001135737,0.0001754482,0.0002412827,0.0003377431,0.0004538956,0.0008900397,0.0004340674,0.003784217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002888851,"about_ca_system_score_gemma":0.0002386682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0119015,"about_ca_topic_score_gemma":0.01803722,"domain_scores_codex":[0.9998635,0.000010988,0.000009065317,0.0000310543,0.00003720955,0.00004814887],"domain_scores_gemma":[0.9999146,0.000006022032,0.00003168913,0.000005456523,0.00002074739,0.00002141525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001006575,0.0009114612,0.4128626,0.0006775372,0.0001438876,0.01354972,0.003446463,0.0002733689,0.0532291,0.008660252,0.0594584,0.4457806],"study_design_scores_gemma":[0.00005934688,0.000813688,0.6129252,0.0005071624,0.00008014248,0.02735787,0.003695441,0.0005518012,0.005955116,0.001967311,0.3460175,0.00006942524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9102977,0.003280924,0.001253299,0.001763531,0.0003338321,0.0002523764,0.002584919,0.000226902,0.08000655],"genre_scores_gemma":[0.8733158,0.00321346,0.001933545,0.00276476,0.00009462517,0.0002494649,0.002549667,0.0000351804,0.1158436],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01555216,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227565866138299,"score_gpt":0.2466242043958005,"score_spread":0.2343485457344175,"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."}}