{"id":"W2737925510","doi":"10.1650/condor-17-67.1","title":"Combined analysis of roadside and off-road breeding bird survey data to assess population change in Alaska","year":2017,"lang":"en","type":"article","venue":"Ornithological Applications","topic":"Rangeland and Wildlife Management","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breeding bird survey; Geography; Population; Range (aeronautics); Habitat; Subspecies; Ecology; Waterfowl; Bird conservation; Biology; Demography","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":[0.0006399956,0.00007798717,0.0001955856,0.00008251335,0.0001678992,0.00005056263,0.0005253093,0.00004441689,0.0001027828],"category_scores_gemma":[0.000101689,0.00006281296,0.00001994754,0.0003994476,0.00008537063,0.0001760237,0.000783244,0.00005439817,0.00004097164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002205318,"about_ca_system_score_gemma":8.689109e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001256887,"about_ca_topic_score_gemma":0.008554512,"domain_scores_codex":[0.9991295,0.00005456888,0.0001888319,0.0003568681,0.0001409354,0.000129349],"domain_scores_gemma":[0.9990199,0.00006083596,0.0001183928,0.0007286437,0.000006753055,0.00006550985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005964491,0.00006750066,0.9576181,0.000001490424,0.00001439624,6.747438e-7,0.00002682868,0.00009151071,0.00009189189,0.00002208145,0.00007156356,0.04198802],"study_design_scores_gemma":[0.0001151926,0.00002317109,0.997808,0.000003397394,0.00005567808,1.886224e-7,0.00001313434,0.0013425,0.000002195011,0.00006312207,0.0004941514,0.00007921692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973249,0.000007778238,0.0006605043,0.0006872453,0.00001065667,0.0003937374,0.00006277644,0.00002137905,0.0008310484],"genre_scores_gemma":[0.9985881,0.00003679061,0.000818348,0.000149915,0.00001325372,0.0001298507,0.0002089352,0.000004947811,0.00004984041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0419088,"threshold_uncertainty_score":0.4773618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2189244109285357,"score_gpt":0.3677296023244367,"score_spread":0.148805191395901,"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."}}