{"id":"W6911014705","doi":"10.5066/f7q81b46","title":"North American Breeding Bird Survey Dataset 1966 - 2014, version 2014.0","year":2016,"lang":"en","type":"dataset","venue":"USGS DOI Tool Production Environment","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breeding bird survey; Identification (biology); Census; Sample (material); Survey methodology; Location data","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","insufficient_payload"],"category_scores_codex":[0.002792711,0.00150462,0.00125223,0.0008448145,0.0005960355,0.0001699251,0.001490712,0.000358121,0.007123695],"category_scores_gemma":[0.000510941,0.001352961,0.0002489761,0.0005053288,0.001219878,0.0009683773,0.00122789,0.00121218,0.2454855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002322679,"about_ca_system_score_gemma":0.0001436201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007154262,"about_ca_topic_score_gemma":0.002924616,"domain_scores_codex":[0.9902204,0.00108571,0.001303249,0.003589533,0.002380774,0.001420379],"domain_scores_gemma":[0.9920228,0.0001771458,0.002033316,0.005229781,0.0000682606,0.0004687094],"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":[0.0004170711,0.0005992762,0.006273746,0.00008944412,0.0002917398,0.00002394303,0.00001300623,0.0004070993,0.0005724112,1.575519e-7,0.9899742,0.001337925],"study_design_scores_gemma":[0.0006402284,0.0003935004,0.05811692,0.00006537362,0.0003659097,0.00004799408,0.00001716902,0.000003680756,0.0001452967,0.000001945293,0.9385864,0.001615598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005165112,0.000209565,0.00002178773,0.000476198,0.002891619,0.00161693,0.989337,0.000275682,0.00000612676],"genre_scores_gemma":[0.0002432485,0.006139126,0.0001878321,0.0001602284,0.002788736,0.0002010001,0.9886512,0.0004489285,0.001179755],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2383618,"threshold_uncertainty_score":0.9997703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013554808667328,"score_gpt":0.2404586422994157,"score_spread":0.2203230942127424,"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."}}