{"id":"W6943564861","doi":"10.15468/dl.xewcp3","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Species name","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001052382,0.001984531,0.001582675,0.005075927,0.0009721386,0.002743714,0.003112686,0.001993218,0.1462664],"category_scores_gemma":[0.006202355,0.000888247,0.001183924,0.010339,0.0004539875,0.002324566,0.002714242,0.002103071,0.2222741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627496,"about_ca_system_score_gemma":0.002569202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02178468,"about_ca_topic_score_gemma":0.03732989,"domain_scores_codex":[0.9989302,0.0001400543,0.0001337111,0.0003672477,0.0002487121,0.0001800325],"domain_scores_gemma":[0.997489,0.0006679025,0.0002428469,0.0006837152,0.0006222868,0.0002943836],"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":[0.00002421535,0.00001053822,0.0003805939,0.0004325741,0.00001553038,0.00001346068,0.00002283532,0.0001246227,0.00009909565,0.0004049501,0.9971662,0.001305285],"study_design_scores_gemma":[0.00006368451,0.000006857354,0.001703541,0.0001746428,0.00001481553,0.000035027,0.00007012489,0.0001596332,0.0001896634,0.000830338,0.9967347,0.00001703812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004112447,0.00002695316,0.00005076427,0.00003518454,0.00001238804,0.000004821539,0.9988003,0.0003848939,0.0006435747],"genre_scores_gemma":[0.0001391619,0.00002954152,0.0001735662,0.00003397401,0.000003030356,0.00003309481,0.9990473,0.0001362415,0.0004041544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8537336,"threshold_uncertainty_score":0.4893099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}