{"id":"W7162029108","doi":"10.82308/24889","title":"Habitat use by breeding and molting red-breasted mergansers in the Gulf of St. Lawrence","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Habitat; Salt marsh; Population; Nest (protein structural motif); Intertidal zone; Wader; Tern; Marsh; Estuary","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":[0.00009676755,0.0001013307,0.00008563257,0.0004039605,0.0004146397,0.0002693836,0.0001781383,0.00012449,0.0004345994],"category_scores_gemma":[0.000205297,0.00009070375,0.00006182133,0.0003025615,0.0002738,0.0002021555,0.000223963,0.0001377106,0.00005997852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153884,"about_ca_system_score_gemma":0.0004640962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3710677,"about_ca_topic_score_gemma":0.8187706,"domain_scores_codex":[0.9999446,0.000008354669,0.000004612918,0.00001503486,0.00001379903,0.00001358735],"domain_scores_gemma":[0.9998224,0.00001304469,0.00008066886,0.0000053636,0.00002996759,0.00004853257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000244255,0.00001974197,0.9934592,0.000007020263,0.00000895416,0.00009677819,0.001752916,0.00003015379,0.001280591,0.00001152355,0.0001098862,0.003198898],"study_design_scores_gemma":[0.000001063278,0.00001584107,0.9986385,0.000003169446,0.000002960092,0.00003577259,0.001067438,0.00004391258,0.00005013238,0.0000027352,0.000137198,0.000001259099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998426,0.00001974711,0.000003056566,0.000007994473,2.874218e-7,7.139727e-7,0.00003722219,5.658626e-7,0.00008789824],"genre_scores_gemma":[0.9993708,0.00005744252,0.00006502557,0.00001614306,8.637579e-7,0.000002749633,0.0001282212,4.910793e-7,0.0003584109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6289323,"threshold_uncertainty_score":0.7378157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167458739494881,"score_gpt":0.2405134843925662,"score_spread":0.2288388969976174,"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."}}