{"id":"W7098326216","doi":"","title":"Hazing and Movements of Canada Geese near","year":2000,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodegradation; Global warming; Climate change; Environmental degradation","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":[0.0001148981,0.0001272158,0.00009525382,0.0005616471,0.0008269929,0.0005682977,0.0003237335,0.0004629593,0.002770714],"category_scores_gemma":[0.0007934127,0.00009283185,0.0001785048,0.000762392,0.0004492309,0.0002824875,0.0004657448,0.0003825679,0.0002424352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004074628,"about_ca_system_score_gemma":0.002544718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9518752,"about_ca_topic_score_gemma":0.9812758,"domain_scores_codex":[0.9998903,0.00001030965,0.000003125573,0.00001717989,0.00003064039,0.00004846898],"domain_scores_gemma":[0.9993992,0.00004036712,0.000135344,0.00001607391,0.0001771855,0.0002318581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001913791,0.00004766016,0.9790542,0.00002111857,0.00008532883,0.0003119274,0.004336831,0.0006022193,0.001059539,0.0004030172,0.002115423,0.01177144],"study_design_scores_gemma":[0.000003436464,0.00001989654,0.993081,0.00001329558,0.000009632124,0.00004667999,0.004268942,0.000337704,0.00005845793,0.00003946859,0.002113313,0.000008263871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972356,0.000149242,0.00002306733,0.0002522533,0.000003998768,0.000004803576,0.0004421002,0.000001739737,0.001887219],"genre_scores_gemma":[0.9962773,0.0002367482,0.00006609999,0.00004655934,0.000003960285,0.000003492414,0.0004694725,0.000001505461,0.002894915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9518752,"threshold_uncertainty_score":0.09681636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781847659412134,"score_gpt":0.1618034735356376,"score_spread":0.1439849969415163,"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."}}