{"id":"W6905786354","doi":"10.15468/dl.ukjzen","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; Range (aeronautics); State (computer science)","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":[0.0009675504,0.001964319,0.001551739,0.004833895,0.001005217,0.002564368,0.002734416,0.00214293,0.1647544],"category_scores_gemma":[0.005904287,0.0008946395,0.001223655,0.009016916,0.0004446514,0.00233362,0.002497304,0.001973765,0.2212888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578787,"about_ca_system_score_gemma":0.00224853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02214962,"about_ca_topic_score_gemma":0.03527075,"domain_scores_codex":[0.9990286,0.0001375122,0.0001192029,0.0003421633,0.0002099273,0.0001626195],"domain_scores_gemma":[0.997591,0.0007373702,0.000210223,0.0006176371,0.0005783209,0.0002653996],"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":[0.00002631062,0.00001188833,0.0003855515,0.0005316975,0.00001408158,0.00001553652,0.00002295764,0.0001237758,0.0001146262,0.0003490424,0.9970083,0.001396379],"study_design_scores_gemma":[0.00007307337,0.000009158939,0.001983737,0.0002103655,0.00001505797,0.00003907324,0.00008045026,0.0001711478,0.0001923096,0.0007524826,0.9964552,0.00001794937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004561788,0.00002953576,0.00004543952,0.00004056789,0.00001321541,0.000005984039,0.9987782,0.0004017733,0.0006396588],"genre_scores_gemma":[0.0001756055,0.00003548067,0.0002016374,0.00005167604,0.000003984065,0.00004727065,0.9988492,0.0001505087,0.00048477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8352456,"threshold_uncertainty_score":0.5511584,"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."}}