{"id":"W7139489451","doi":"","title":"Canada Goose (<i>Branta canadensis </i>)","year":2023,"lang":"en","type":"article","venue":"Digital Commons - University of South Florida (University of South Florida)","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Goose; Range (aeronautics); Arctic; Waterfowl; The arctic; Spring (device)","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":[0.0000654943,0.0004048366,0.0001879839,0.0005216696,0.001078677,0.0004551896,0.0003956908,0.0001831187,0.008699183],"category_scores_gemma":[0.00008373684,0.00008300028,0.0001482444,0.0005506428,0.0004993984,0.000289618,0.0005593357,0.0004129268,0.002210875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001491198,"about_ca_system_score_gemma":0.0007151973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3868369,"about_ca_topic_score_gemma":0.7495687,"domain_scores_codex":[0.9999145,0.000002489219,0.000002713141,0.00003156625,0.00002372415,0.00002497467],"domain_scores_gemma":[0.9999336,0.000003582105,0.00001129774,0.000007246726,0.00002206678,0.00002217365],"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":[0.001020847,0.00042248,0.1454185,0.0005002011,0.0002240958,0.002002601,0.001753676,0.0008288695,0.2010102,0.01623702,0.2512097,0.3793719],"study_design_scores_gemma":[0.00007102492,0.0002849775,0.3881639,0.000151485,0.0001361029,0.001293834,0.001935411,0.0008514622,0.01290718,0.001069768,0.5930462,0.00008871082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6600846,0.001723386,0.001897617,0.001674414,0.0005108256,0.0001377118,0.013526,0.001361952,0.3190835],"genre_scores_gemma":[0.8304681,0.001591602,0.006361507,0.002315232,0.00005315466,0.0001082672,0.02024717,0.0003180156,0.1385369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3868369,"threshold_uncertainty_score":0.7691704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233344251605723,"score_gpt":0.1650848704349987,"score_spread":0.1527514279189415,"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."}}