{"id":"W6924617827","doi":"10.15468/dl.xnuj5v","title":"Occurrence Download","year":2022,"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":[0.000977039,0.001972561,0.001561304,0.005036419,0.001012778,0.002565407,0.002694791,0.002117481,0.1565931],"category_scores_gemma":[0.006077562,0.0008853467,0.001243343,0.009331623,0.0004460009,0.002330717,0.002527876,0.001969057,0.2193362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581325,"about_ca_system_score_gemma":0.002310286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238381,"about_ca_topic_score_gemma":0.03458323,"domain_scores_codex":[0.9989473,0.0001465952,0.0001278597,0.000374009,0.0002300423,0.000174075],"domain_scores_gemma":[0.997438,0.0007597085,0.0002251253,0.0006809279,0.0006118438,0.0002844632],"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":[0.00002823991,0.00001191089,0.000415982,0.0005140946,0.00001389651,0.00001537792,0.00002304158,0.0001293981,0.0001131845,0.0003450629,0.996994,0.00139577],"study_design_scores_gemma":[0.00007310651,0.0000098374,0.00209063,0.0002092028,0.0000149208,0.00003934131,0.00008370894,0.0001773447,0.000194322,0.0007607161,0.9963283,0.00001855264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004810954,0.0000304437,0.00004406787,0.00004166767,0.00001380158,0.000005901875,0.9987991,0.0004030447,0.00061396],"genre_scores_gemma":[0.0001755473,0.00003658865,0.0001944064,0.00005072511,0.000004096736,0.00004491729,0.9988507,0.0001445768,0.0004983103],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8434069,"threshold_uncertainty_score":0.523856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}