{"id":"W6905924778","doi":"10.15468/dl.u5gzdn","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":[0.0009849145,0.001916293,0.001595864,0.005123637,0.001047711,0.002556738,0.002770514,0.002140234,0.1533224],"category_scores_gemma":[0.006001501,0.0008961919,0.001293728,0.009787101,0.0004536,0.002348719,0.002605293,0.001991059,0.2234093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620733,"about_ca_system_score_gemma":0.002386119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02239856,"about_ca_topic_score_gemma":0.03592249,"domain_scores_codex":[0.9989064,0.0001482348,0.0001381413,0.0003830274,0.0002407889,0.0001834997],"domain_scores_gemma":[0.9973917,0.0007437053,0.0002310413,0.0006887438,0.0006591949,0.0002856761],"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":[0.00003015612,0.0000128521,0.0004027125,0.0005816682,0.00001471602,0.00001581744,0.00002491528,0.0001197301,0.0001309632,0.0003560643,0.9968235,0.001486824],"study_design_scores_gemma":[0.00006963194,0.000009517608,0.00214597,0.0002085541,0.00001530895,0.00003926285,0.00008434864,0.0001487922,0.0002010345,0.0006915513,0.9963679,0.0000180676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004898253,0.00002986328,0.00004282616,0.00003926417,0.00001339648,0.000005808047,0.9987864,0.0003812437,0.0006521929],"genre_scores_gemma":[0.0001621589,0.00003523271,0.0001884274,0.00004527189,0.000003629117,0.00004088266,0.9989197,0.0001325528,0.0004720882],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466776,"threshold_uncertainty_score":0.5129145,"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."}}