{"id":"W6887209180","doi":"10.15468/dl.scttac","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","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":[0.001045253,0.00202274,0.001668115,0.004926885,0.001049943,0.002655463,0.002872934,0.002207906,0.1540806],"category_scores_gemma":[0.006403333,0.0009424759,0.001322993,0.009532534,0.00045805,0.002387543,0.002630405,0.002053613,0.2200628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600902,"about_ca_system_score_gemma":0.002364927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02085526,"about_ca_topic_score_gemma":0.03220095,"domain_scores_codex":[0.9989091,0.0001526519,0.0001424189,0.0003829923,0.0002357108,0.0001771993],"domain_scores_gemma":[0.9973466,0.0007856529,0.0002308965,0.0006974932,0.0006488066,0.0002905159],"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":[0.00003132498,0.00001282484,0.0003981387,0.0006239781,0.0000161647,0.00001662502,0.00002367128,0.0001388436,0.0001283639,0.0003634748,0.9967655,0.001481102],"study_design_scores_gemma":[0.00008247247,0.00001036161,0.00206092,0.0002301729,0.00001666411,0.00004162211,0.00008248664,0.0001824283,0.0002050401,0.0007999447,0.9962683,0.00001953643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000441811,0.00002968852,0.00004533635,0.00004002022,0.00001384941,0.000006071011,0.9988053,0.0004175798,0.0005979395],"genre_scores_gemma":[0.0001548689,0.00003512622,0.0001965906,0.00004763645,0.00000363751,0.00004310302,0.9989693,0.0001389562,0.0004106869],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8459194,"threshold_uncertainty_score":0.515451,"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."}}