{"id":"W2754607316","doi":"10.1080/14634988.2017.1311742","title":"Efficacy of decoys and familiar versus unfamiliar playback calls in attracting Common Terns to a rehabilitated wetland on Lake Ontario","year":2017,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Animal Vocal Communication and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; McMaster University","funders":"","keywords":"Tern; Sterna; Habitat; Hirundo; Fishery; Geography; Ecology; Population; Nesting (process); Harbour; Biology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000395035,0.0002456696,0.0002251255,0.0001373464,0.0003425724,0.0003977734,0.0003128326,0.0002433122,0.0007487572],"category_scores_gemma":[0.00132568,0.0001197451,0.000181359,0.00006041629,0.000384901,0.0002688855,0.0003840793,0.0002502118,0.000109519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001100324,"about_ca_system_score_gemma":0.0009199173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1007262,"about_ca_topic_score_gemma":0.4122885,"domain_scores_codex":[0.9996952,0.00006722525,0.00001963649,0.00005670735,0.00009905257,0.00006222568],"domain_scores_gemma":[0.9993079,0.0001588877,0.0001433791,0.00003803071,0.00011636,0.0002353919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01156218,0.004391375,0.4767888,0.0006034327,0.0003345167,0.0004832602,0.006268771,0.001522367,0.3798615,0.0001158038,0.001086668,0.1169813],"study_design_scores_gemma":[0.00007196664,0.007363637,0.98143,0.00002626474,0.00009195558,0.0000415753,0.0008843198,0.001371521,0.008038603,0.00001201902,0.0006489662,0.00001910272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996895,0.0000206529,0.00001789654,0.00001009733,0.000001480891,0.000006758029,0.000009365011,0.00000238484,0.0002419766],"genre_scores_gemma":[0.9986132,0.00005121785,0.0001957285,0.00002368609,0.000002962898,0.0000144398,0.00003847126,0.000002382875,0.001057861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8992738,"threshold_uncertainty_score":0.2002798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04872579415198695,"score_gpt":0.3517219592333903,"score_spread":0.3029961650814033,"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."}}