{"id":"W6905728085","doi":"10.15468/dl.pnq3gx","title":"Occurrence Download","year":2023,"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); Identification (biology); UniProt","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":[0.0009661668,0.001915479,0.001529733,0.004659951,0.001045936,0.002423731,0.002881177,0.002052205,0.1441099],"category_scores_gemma":[0.005488569,0.0008988937,0.001212605,0.009361646,0.0004428162,0.002234252,0.002502362,0.002023952,0.2129041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001623862,"about_ca_system_score_gemma":0.002336222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02313948,"about_ca_topic_score_gemma":0.03946023,"domain_scores_codex":[0.9990271,0.0001290149,0.0001235246,0.0003324207,0.0002267349,0.0001612428],"domain_scores_gemma":[0.9977628,0.0006077644,0.0002048846,0.0006045699,0.0005622216,0.0002576786],"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":[0.00002826838,0.00001199582,0.00040426,0.0004827039,0.000014462,0.00001647481,0.000027387,0.0001285607,0.0001386772,0.0004134761,0.9967833,0.001550497],"study_design_scores_gemma":[0.00005968642,0.000006932113,0.001753399,0.0001652228,0.00001266831,0.00003718259,0.00007485968,0.0001551968,0.0002041964,0.0007391392,0.9967743,0.00001726263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005059066,0.00002604524,0.00005954968,0.0000364453,0.00001262918,0.000005788248,0.9985983,0.0004685297,0.0007422083],"genre_scores_gemma":[0.0001663274,0.00002864215,0.0002323913,0.00004113361,0.000003074606,0.00004194566,0.9988803,0.0001653184,0.000440731],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.85589,"threshold_uncertainty_score":0.4820958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}