{"id":"W7112182124","doi":"","title":"Natures Chorus: Determining Avian Richness across Microhabitats using AudioMoths","year":2024,"lang":"en","type":"other","venue":"SUNY Digital Repository Support (State University of New York System)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Species richness; Waterfowl; Wetland; Habitat; Citizen science; Common species; Identification (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0002732056,0.001343907,0.001882504,0.001221453,0.000365282,0.0007496728,0.001574263,0.00102621,0.0001441198],"category_scores_gemma":[0.00003722004,0.001605782,0.0009827033,0.001085112,0.0007206969,0.0008047876,0.000829238,0.0008641887,0.002917692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499059,"about_ca_system_score_gemma":0.001270828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003726084,"about_ca_topic_score_gemma":0.0006723256,"domain_scores_codex":[0.9941499,0.0001699001,0.001029518,0.001898865,0.001335694,0.00141619],"domain_scores_gemma":[0.9956552,0.00007502413,0.001687819,0.001525794,0.0002383889,0.0008178051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003551111,0.0001735139,0.007172553,0.005916049,0.002228428,0.01683115,0.007707234,0.00009147979,0.003470064,0.00001589202,0.9548629,0.001175615],"study_design_scores_gemma":[0.001956999,0.0003156629,0.0005169823,0.01318251,0.00102356,0.003015232,0.02441671,0.0001351021,0.001051469,0.00001968439,0.9514214,0.002944701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07372593,0.004680219,0.0002673904,0.00001089672,0.00764122,0.001919344,0.00794575,0.003561695,0.9002476],"genre_scores_gemma":[0.2716669,0.000007846548,0.0004714814,0.000006385471,0.0004471338,6.327878e-7,0.0002270727,0.001655911,0.7255167],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1979409,"threshold_uncertainty_score":0.9999312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01861295276622358,"score_gpt":0.2425766748765989,"score_spread":0.2239637221103753,"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."}}