{"id":"W6906059108","doi":"10.15468/dl.yh5cqm","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":[0.0009927597,0.001889119,0.001556338,0.005037671,0.001033031,0.002466673,0.002687116,0.002113896,0.1492023],"category_scores_gemma":[0.006043866,0.0008863625,0.001248115,0.009711594,0.000447059,0.002243201,0.002518502,0.001965604,0.2107623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596246,"about_ca_system_score_gemma":0.002427253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267862,"about_ca_topic_score_gemma":0.03673858,"domain_scores_codex":[0.9989292,0.0001495805,0.0001358749,0.0003711818,0.0002368235,0.0001772862],"domain_scores_gemma":[0.9973056,0.000790951,0.0002412054,0.0007114433,0.000666799,0.0002839014],"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":[0.00003160517,0.00001268048,0.0004215996,0.0005736714,0.00001474324,0.0000162498,0.00002621353,0.00012576,0.0001315347,0.0003706371,0.9967167,0.00155861],"study_design_scores_gemma":[0.0000703287,0.000009562097,0.002141612,0.0002146516,0.00001492415,0.00003927712,0.00008533795,0.0001511242,0.0001995313,0.0007322424,0.9963233,0.00001808558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004980076,0.00002990847,0.00004488025,0.00003948381,0.00001300344,0.000005965463,0.9987839,0.000388303,0.0006447719],"genre_scores_gemma":[0.0001751922,0.0000355167,0.0002043549,0.00004755997,0.000003706305,0.00004542786,0.998861,0.0001392001,0.0004881175],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8507977,"threshold_uncertainty_score":0.4991313,"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."}}