{"id":"W4233340639","doi":"10.32747/2018.7208745.ws","title":"Mute Swans","year":2018,"lang":"en","type":"report","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waterfowl; Black swan theory; Wildlife; Geography; Fishery; Jurisdiction; Ecology; Biology; Law; Habitat; Political science","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":[0.0002296812,0.0003253536,0.0001124221,0.001060077,0.0005934726,0.0004682678,0.0001694741,0.0003156673,0.01450247],"category_scores_gemma":[0.0009341683,0.00008537166,0.0001538994,0.0005562771,0.0002844002,0.0003853343,0.0007617101,0.0003512587,0.003834356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002901985,"about_ca_system_score_gemma":0.000858211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01502154,"about_ca_topic_score_gemma":0.02190474,"domain_scores_codex":[0.9996746,0.00002740354,0.00002646005,0.00004006043,0.000143864,0.00008772303],"domain_scores_gemma":[0.9997345,0.00003097271,0.00007890882,0.00001797867,0.00008581423,0.00005192106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004490784,0.00047622,0.2812219,0.0008407214,0.00005275029,0.005527751,0.002008747,0.0001054636,0.0142759,0.006034574,0.144974,0.5440329],"study_design_scores_gemma":[0.000035679,0.0004493604,0.4010717,0.0007089324,0.00004030077,0.01086831,0.002243797,0.0001205731,0.005178059,0.0008702712,0.5783868,0.00002612441],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.717777,0.007483188,0.001612249,0.006135786,0.0004784884,0.001287277,0.01871122,0.0003353817,0.2461795],"genre_scores_gemma":[0.69115,0.01486744,0.002988408,0.004288001,0.0002440695,0.001006646,0.01595735,0.00005970313,0.2694385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01502154,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326205557030616,"score_gpt":0.2612774815302024,"score_spread":0.2380154259598962,"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."}}