{"id":"W6962362945","doi":"10.15468/dl.r62qzb","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); Alien; The Internet; Range (aeronautics)","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":[0.0009395916,0.001990861,0.001541731,0.004951196,0.0009724008,0.002504228,0.002600829,0.001909575,0.1634606],"category_scores_gemma":[0.006112269,0.0009150682,0.001183018,0.009943932,0.0004331905,0.002228619,0.002526986,0.001808073,0.2156463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470872,"about_ca_system_score_gemma":0.002319244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010087,"about_ca_topic_score_gemma":0.03261508,"domain_scores_codex":[0.9989537,0.0001432901,0.0001359037,0.0003780625,0.0002140695,0.000174956],"domain_scores_gemma":[0.9975303,0.0007319488,0.0002357388,0.0006144852,0.0006076103,0.0002799905],"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":[0.00003298683,0.00001150944,0.0003928156,0.0005625472,0.00001438513,0.0000146518,0.00002176289,0.0001235308,0.0001195732,0.00036866,0.9968917,0.001445929],"study_design_scores_gemma":[0.00007773994,0.00001028655,0.001949431,0.0001986704,0.00001541527,0.00003715869,0.00006986523,0.0001523939,0.0001945723,0.0008071469,0.9964688,0.00001861639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004458705,0.0000261259,0.00004028039,0.00003270288,0.00001177195,0.000004895722,0.9988613,0.0003574669,0.0006209239],"genre_scores_gemma":[0.0001617556,0.0000341171,0.0001904076,0.00004569925,0.000003519226,0.00004068415,0.9989064,0.0001472706,0.0004701414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365394,"threshold_uncertainty_score":0.5468303,"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."}}