{"id":"W6892215734","doi":"10.5066/f7w0944j","title":"North American Breeding Bird Survey Dataset 1966 - 2016, version 2016.0","year":2018,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"","field":"","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breeding bird survey; Identification (biology); Census; Sample (material); Survey methodology; Breeding pair","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006748121,0.001166561,0.0009119952,0.002313248,0.0005551838,0.001066244,0.001662024,0.0005980183,0.03260525],"category_scores_gemma":[0.003964213,0.0004391606,0.0006135318,0.005382367,0.0002061072,0.0009334658,0.0009081915,0.0009268849,0.03773545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016766,"about_ca_system_score_gemma":0.001835464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09355478,"about_ca_topic_score_gemma":0.1758902,"domain_scores_codex":[0.9994137,0.00008151984,0.00008930638,0.0001833969,0.0001560579,0.00007588533],"domain_scores_gemma":[0.9983227,0.0002417098,0.0002144488,0.0002407462,0.0008349832,0.0001454344],"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":[0.00003624232,0.00001572097,0.004530327,0.0002890467,0.00002803018,0.00002010241,0.00002344197,0.0002154781,0.00005573558,0.0002494096,0.9915932,0.002943371],"study_design_scores_gemma":[0.0001580968,0.00001498644,0.03726155,0.0003387388,0.00003937459,0.00007354949,0.0001495729,0.000856074,0.0002304558,0.0008498321,0.9599931,0.00003466038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00028149,0.00003753794,0.00007679364,0.00002417058,0.00001438897,0.000008623045,0.9989302,0.00009646689,0.0005302627],"genre_scores_gemma":[0.0006321406,0.00003529909,0.0002580275,0.00001950793,0.000005999038,0.00005833182,0.9984212,0.00002445481,0.0005450243],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09355478,"threshold_uncertainty_score":0.1860205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387777601786979,"score_gpt":0.246251388679382,"score_spread":0.2223736126615122,"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."}}