{"id":"W6906001332","doi":"10.15468/dl.zzp6yz","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); Alien; The Internet","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":[0.001038261,0.001965874,0.001595372,0.004927563,0.0009981756,0.002505077,0.002829541,0.002149161,0.1446668],"category_scores_gemma":[0.005876716,0.0009044765,0.0012402,0.009831838,0.0004619613,0.002247805,0.002465049,0.002015972,0.2047762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659039,"about_ca_system_score_gemma":0.00245627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02453006,"about_ca_topic_score_gemma":0.03964637,"domain_scores_codex":[0.9989341,0.0001469809,0.0001399712,0.0003675992,0.0002372729,0.0001740247],"domain_scores_gemma":[0.9973763,0.000763226,0.0002455138,0.0006852013,0.0006391982,0.0002905234],"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":[0.00003096269,0.00001329912,0.000422708,0.0005660303,0.00001519084,0.00001627304,0.00002468292,0.0001386052,0.0001267098,0.000377862,0.996854,0.001413579],"study_design_scores_gemma":[0.00007933143,0.000009687599,0.00225696,0.0002077462,0.00001535533,0.00003911205,0.00008289905,0.0001598604,0.0002096207,0.0007737078,0.9961464,0.00001926947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004398046,0.00002481401,0.00003969104,0.00003382051,0.00001101282,0.000005130172,0.9989448,0.000326013,0.0005707554],"genre_scores_gemma":[0.0001576442,0.00003090325,0.0001778014,0.00004000681,0.000003100381,0.00004080459,0.9990061,0.0001190089,0.0004246996],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8553332,"threshold_uncertainty_score":0.4839585,"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."}}