{"id":"W2913453323","doi":"10.1007/978-3-319-99194-8_12","title":"Shorebirds as Integrators and Indicators of Mudflat Ecology","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Alberta","funders":"","keywords":"Foraging; Intertidal zone; Ecology; Intertidal ecology; Habitat; Ecosystem; Geography; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002842907,0.0004326447,0.0002119282,0.0005814185,0.0001727476,0.00151476,0.0003056411,0.0004147468,0.003380646],"category_scores_gemma":[0.0004377348,0.0002062421,0.0001261136,0.0004947364,0.000519779,0.001791842,0.0007128671,0.0005543066,0.0008085912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003899413,"about_ca_system_score_gemma":0.0001765956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002212465,"about_ca_topic_score_gemma":0.005856351,"domain_scores_codex":[0.9998958,0.00002204626,0.000003398722,0.000035565,0.0000324115,0.00001064034],"domain_scores_gemma":[0.9998926,0.00004767193,0.00001568709,0.000007740897,0.00001967204,0.00001658569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006495514,0.00003721198,0.02904289,0.0003385691,0.00006890116,0.0001726439,0.001983381,0.001644494,0.0101889,0.2437211,0.03006642,0.6826705],"study_design_scores_gemma":[0.000009487429,0.0001294377,0.1269795,0.0007002781,0.00009928485,0.001201728,0.002820254,0.01082402,0.007186223,0.1943206,0.6556418,0.00008740968],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2361031,0.1559284,0.08570231,0.004307613,0.00213025,0.00005868843,0.0009072967,0.0004165237,0.5144458],"genre_scores_gemma":[0.6296372,0.06010129,0.03191799,0.0007840904,0.0007688039,0.00005657648,0.0006576623,0.0001449752,0.2759313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003380646,"threshold_uncertainty_score":0.01130944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003825860934225012,"score_gpt":0.1920893867830411,"score_spread":0.1882635258488161,"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."}}