{"id":"W4412300521","doi":"","title":"Potential factors influencing increasing numbers of Canada Geese in Isunngua, west Greenland","year":2011,"lang":"en","type":"article","venue":"","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Physical geography; Fishery; Biology","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":[0.0002472484,0.0001020506,0.0001568139,0.0009248687,0.001928097,0.0009743822,0.0006044394,0.0003226158,0.001350681],"category_scores_gemma":[0.001246552,0.0001389433,0.0001394943,0.001424237,0.0009307287,0.0003872298,0.0006137278,0.0003848717,0.0001005925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004548792,"about_ca_system_score_gemma":0.006576883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.931864,"about_ca_topic_score_gemma":0.9853058,"domain_scores_codex":[0.9995849,0.00005737548,0.0000162709,0.00005248106,0.00007891446,0.0002100987],"domain_scores_gemma":[0.9988159,0.000147466,0.0002518834,0.00002368347,0.0002948415,0.00046632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005201243,0.00004465803,0.987518,0.00002958107,0.00001855054,0.0002733021,0.005713301,0.0001051709,0.001191981,0.0001560363,0.0003444453,0.00455298],"study_design_scores_gemma":[0.000001219864,0.00001395059,0.9783065,0.00001421929,0.000006347721,0.00007402849,0.02066187,0.0001342801,0.0000637153,0.00002529491,0.0006942271,0.000004372718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988985,0.00005734243,0.00002385335,0.00008248684,0.000002361229,0.000005992509,0.00008517053,0.000001435798,0.0008426855],"genre_scores_gemma":[0.9989386,0.00009660746,0.0001072575,0.00004074813,0.000002617936,0.000005381255,0.00005806271,0.000001190252,0.0007495126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.931864,"threshold_uncertainty_score":0.1370744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03054400020054591,"score_gpt":0.3046979746740613,"score_spread":0.2741539744735154,"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."}}