{"id":"W6961821128","doi":"10.15468/dl.vunqc4","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":[0.0009938324,0.001867785,0.001581319,0.004823858,0.001030075,0.002492085,0.00272194,0.002105777,0.1580008],"category_scores_gemma":[0.006281467,0.0008921067,0.001239845,0.009688796,0.0004536151,0.002256939,0.002472297,0.002018536,0.2190128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160719,"about_ca_system_score_gemma":0.002401766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02235051,"about_ca_topic_score_gemma":0.03476622,"domain_scores_codex":[0.9989408,0.0001435476,0.0001322913,0.0003737803,0.0002374438,0.0001721679],"domain_scores_gemma":[0.9973525,0.0008036471,0.0002372339,0.0006704882,0.0006528846,0.0002833426],"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":[0.00003122612,0.00001214363,0.0003798131,0.000599858,0.00001462653,0.00001563205,0.00002385033,0.000120911,0.0001335811,0.000370888,0.9968327,0.00146483],"study_design_scores_gemma":[0.00007430712,0.000009367237,0.002013245,0.0002156545,0.00001522147,0.00003794556,0.00007742496,0.0001434559,0.0002089739,0.0007328268,0.9964535,0.00001803356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004421886,0.00002868029,0.00004197556,0.00003787011,0.00001218182,0.00000553851,0.9988463,0.0003613457,0.0006217902],"genre_scores_gemma":[0.0001675448,0.00003641791,0.0001918128,0.00004823053,0.000003564573,0.00004453518,0.9988789,0.0001444245,0.0004845402],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8419992,"threshold_uncertainty_score":0.5285654,"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."}}