{"id":"W2808635266","doi":"","title":"Amphibian and Bird Communities of Lake Ontario Coastal Wetlands: Disturbance Effects and Monitoring Efficiencies","year":2018,"lang":"en","type":"dissertation","venue":"SUNY Digital Repository Support (State University of New York System)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wetland; Disturbance (geology); Graduate students; Geography; Ecology; Graduate research; Graduate education; Citizen science; Environmental science; Library science; Sociology; Biology; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006937865,0.0002509385,0.0005215927,0.00004483559,0.0005439651,0.00006511349,0.0002590174,0.000193868,0.000008574212],"category_scores_gemma":[0.00000997527,0.0001519779,0.000115228,0.0001115553,0.000485189,0.0002242708,0.000166843,0.0001508211,0.000003956894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000521578,"about_ca_system_score_gemma":0.00006949322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02019586,"about_ca_topic_score_gemma":0.6549242,"domain_scores_codex":[0.9989941,0.00004166509,0.0002375855,0.0002731886,0.0002283782,0.0002250851],"domain_scores_gemma":[0.9990724,0.0001679097,0.0004070611,0.00008594145,0.0001470242,0.0001197166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002729635,0.0000464977,0.9886023,0.0005499321,0.000132896,0.00005295673,0.007606615,3.284989e-7,0.0004406935,0.000003890811,0.0009025668,0.001388364],"study_design_scores_gemma":[0.0002670656,0.0008201902,0.9392932,0.0005625815,0.00009826247,0.00002241481,0.05447137,6.830854e-7,0.0005389261,0.000008175067,0.003677263,0.0002398861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949351,0.0001181986,3.019446e-7,0.000007073294,0.0005727623,0.0002348078,0.0002099653,0.00005906957,0.003862746],"genre_scores_gemma":[0.97305,0.00004384843,0.00001757186,0.000001544106,0.00005024099,2.701888e-7,0.0002301204,0.000002103094,0.02660427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6347283,"threshold_uncertainty_score":0.9863287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01197162076794841,"score_gpt":0.1716207262830511,"score_spread":0.1596491055151027,"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."}}