{"id":"W6887127586","doi":"10.15468/dl.rahpne","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); Software","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":[0.0009543048,0.001943243,0.001547042,0.005533637,0.0008958734,0.002322949,0.002804547,0.001867361,0.1521952],"category_scores_gemma":[0.005482284,0.0009176899,0.001124919,0.01125758,0.0004415752,0.002308591,0.002436814,0.001840383,0.1968888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738978,"about_ca_system_score_gemma":0.002614552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03115513,"about_ca_topic_score_gemma":0.04904607,"domain_scores_codex":[0.9989803,0.0001282726,0.0001411328,0.0003411356,0.0002321348,0.0001769891],"domain_scores_gemma":[0.9974674,0.0006528427,0.0002468847,0.0006449585,0.0006786918,0.0003092747],"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":[0.00003131399,0.00001057963,0.000386996,0.0005471891,0.00001492468,0.00001609436,0.00002486693,0.0001374121,0.0001186919,0.0003948637,0.9968208,0.001496206],"study_design_scores_gemma":[0.00006325844,0.000007242072,0.002087588,0.00017846,0.00001334083,0.00003707062,0.00007390662,0.0001385277,0.0001890637,0.0006519171,0.996541,0.00001859766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003448133,0.00002056016,0.00003259205,0.00002808207,0.000008850035,0.000004052695,0.9990638,0.0002832572,0.000524283],"genre_scores_gemma":[0.0001399805,0.00002804805,0.0001518744,0.00003480897,0.000002642661,0.0000291721,0.9990993,0.0001068582,0.000407425],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8478048,"threshold_uncertainty_score":0.5091437,"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."}}