{"id":"W6906080012","doi":"10.15468/dl.xbzwx3","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":"Matching (statistics); Download; Alien; Range (aeronautics); Information system","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":[0.0008952591,0.002057523,0.001492564,0.004633059,0.0009759909,0.002392428,0.002652002,0.001970258,0.1530844],"category_scores_gemma":[0.005615972,0.0008933512,0.00122437,0.009314385,0.0004420084,0.00216659,0.002491507,0.001835191,0.2089848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443594,"about_ca_system_score_gemma":0.002295116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02076313,"about_ca_topic_score_gemma":0.03466557,"domain_scores_codex":[0.9990139,0.0001298449,0.0001217693,0.0003571175,0.0002083033,0.0001690673],"domain_scores_gemma":[0.9977216,0.0006376736,0.0002155504,0.0005987704,0.0005581724,0.0002682123],"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":[0.00003138267,0.00001196914,0.0003972039,0.000505842,0.00001396246,0.00001465325,0.00002030016,0.0001262491,0.0001254177,0.0003393644,0.9969874,0.001426203],"study_design_scores_gemma":[0.00008024665,0.00001106042,0.001990732,0.0001792769,0.00001510653,0.00004029786,0.00006781358,0.000163518,0.0002133341,0.0007751426,0.9964445,0.00001886644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005204439,0.0000279905,0.00004226166,0.0000355924,0.00001369114,0.000005351642,0.9987689,0.0004100297,0.0006440758],"genre_scores_gemma":[0.0001678955,0.00003307614,0.0001943846,0.0000467415,0.00000368156,0.00004024485,0.9988835,0.0001482258,0.0004823186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8469156,"threshold_uncertainty_score":0.5121183,"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."}}