{"id":"W6892154408","doi":"10.5063/f13r0r59","title":"Mountain Birdwatch 2.0: 2010-2018","year":2019,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sampling (signal processing); Population; Stratified sampling; Distance sampling; Breed; Habitat","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001056526,0.001580497,0.001677514,0.001014535,0.0002252057,0.0003727467,0.003001967,0.001673051,0.01446772],"category_scores_gemma":[0.000300146,0.001523207,0.0005031407,0.0009699639,0.0003420191,0.0004601793,0.001023633,0.002094856,0.5784796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009030072,"about_ca_system_score_gemma":0.0006826404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004087873,"about_ca_topic_score_gemma":0.0006097625,"domain_scores_codex":[0.9929809,0.000428015,0.001123873,0.001978662,0.001715203,0.00177332],"domain_scores_gemma":[0.9928144,0.0003276345,0.0007942482,0.005373415,0.0001958259,0.0004944748],"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":[0.0001468806,0.0002336732,0.0002573204,0.0003350631,0.000289063,0.0001893694,0.00002872185,0.00001075213,0.0005713296,0.000008019667,0.9978416,0.00008823541],"study_design_scores_gemma":[0.00108712,0.0001736154,0.0006657214,0.0002789091,0.0004995175,0.0001224039,0.00004813703,0.00005134631,0.0001355375,0.00006599092,0.9950536,0.001818098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005011351,0.001707254,0.000003363144,0.00009473215,0.005144172,0.001358002,0.9894184,0.0004550414,0.001317922],"genre_scores_gemma":[0.00007854548,0.000687213,0.0001045569,0.0008410462,0.00194256,0.0001239932,0.9889777,0.0006168067,0.006627581],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5640119,"threshold_uncertainty_score":0.9996943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010818301500718,"score_gpt":0.2889015083959119,"score_spread":0.2587933253809047,"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."}}