{"id":"W2186532757","doi":"","title":"ALASKA PRODUCTIVITY SURVEYS OF GEESE, SWANS, AND BRANT 2011","year":2012,"lang":"en","type":"article","venue":"","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Branta; Goose; Juvenile; Waterfowl; Brood; Fishery; Productivity; Biology; Geography; Ecology; Habitat","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":[0.0004986062,0.0003151781,0.000144848,0.002133118,0.000602798,0.0004306264,0.000312262,0.0001432672,0.002432991],"category_scores_gemma":[0.001005576,0.0002435129,0.0002234132,0.001461635,0.000132857,0.0004860473,0.0005256507,0.0002404931,0.0009575926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007652959,"about_ca_system_score_gemma":0.000676483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1546783,"about_ca_topic_score_gemma":0.4591458,"domain_scores_codex":[0.9997655,0.00002070417,0.00003446638,0.00006133888,0.00009560783,0.00002251355],"domain_scores_gemma":[0.9991475,0.00004916023,0.0002546975,0.00005264494,0.0003790681,0.0001168386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003299171,0.00005790767,0.9715902,0.00008413898,0.00005177634,0.000214494,0.001739307,0.0003960335,0.001164929,0.000097563,0.00385784,0.0207128],"study_design_scores_gemma":[0.000001061683,0.00003400561,0.9920989,0.00002690699,0.00001060455,0.00007966348,0.001148662,0.0001509916,0.0002375533,0.00001873176,0.006186117,0.000006907499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539559,0.0004830281,0.0008409045,0.00006534862,0.00003031652,0.0001132144,0.01747543,0.0001074191,0.02692826],"genre_scores_gemma":[0.9389677,0.001474767,0.004015526,0.0001074092,0.00002335902,0.0002313593,0.02903145,0.00004072945,0.02610759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1546783,"threshold_uncertainty_score":0.3075559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464289687073472,"score_gpt":0.2290109606195764,"score_spread":0.2143680637488417,"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."}}