{"id":"W6962450410","doi":"10.15468/dl.qs4gtg","title":"Occurrence Download","year":2020,"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; Column (typography)","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":[0.0009030746,0.001978762,0.001471148,0.005394887,0.001022779,0.002752245,0.002832426,0.002175147,0.1617456],"category_scores_gemma":[0.006092368,0.0009452539,0.001191976,0.0109545,0.0004453358,0.002610578,0.002610628,0.002051018,0.2228815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867192,"about_ca_system_score_gemma":0.002486797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0260113,"about_ca_topic_score_gemma":0.04031218,"domain_scores_codex":[0.9989396,0.0001368587,0.0001377702,0.0003634031,0.0002424342,0.0001799504],"domain_scores_gemma":[0.9976404,0.0006451642,0.0002132867,0.0005949943,0.0006351207,0.0002711619],"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":[0.00002804093,0.00001133544,0.0003604256,0.0004850259,0.0000121127,0.00001572739,0.00002345141,0.0001204566,0.00009398787,0.000396228,0.9969441,0.001509029],"study_design_scores_gemma":[0.00005989247,0.000006863762,0.001594982,0.000177237,0.00001088231,0.00003812931,0.00007525722,0.0001610253,0.0001648765,0.0007477943,0.9969462,0.00001692083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004243974,0.00002738705,0.00004679877,0.00004055209,0.00001203602,0.000005238832,0.9986234,0.0004249624,0.0007772595],"genre_scores_gemma":[0.0001728811,0.00003693125,0.0002256595,0.00004805324,0.000003606874,0.00003985596,0.998744,0.0001596767,0.0005694645],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382544,"threshold_uncertainty_score":0.541093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}