{"id":"W6906049555","doi":"10.15468/dl.v9nu32","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)","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":[0.001000319,0.001957489,0.001614359,0.005164531,0.001040136,0.00273693,0.002869722,0.002095763,0.1824585],"category_scores_gemma":[0.006372876,0.0009618565,0.001228098,0.009894176,0.0004444596,0.002488355,0.002670489,0.002132815,0.2419043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619404,"about_ca_system_score_gemma":0.002387958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02034567,"about_ca_topic_score_gemma":0.03192676,"domain_scores_codex":[0.9989696,0.0001399434,0.0001270781,0.0003640691,0.0002238416,0.0001754549],"domain_scores_gemma":[0.9974801,0.0007385795,0.0002216981,0.0006491979,0.0006256352,0.0002849018],"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":[0.00002634655,0.00001061602,0.0003332879,0.0005574179,0.00001384063,0.00001393962,0.00002207151,0.0001139801,0.0001086271,0.0003581568,0.9970387,0.001403002],"study_design_scores_gemma":[0.00007062653,0.00000814883,0.001649662,0.0002116802,0.00001449105,0.00003368518,0.00007416173,0.0001456436,0.00018232,0.0007799973,0.9968122,0.00001735162],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003577061,0.00002723079,0.00004191211,0.00003784065,0.0000128966,0.000005632272,0.9988367,0.0003657317,0.0006363041],"genre_scores_gemma":[0.0001516925,0.00003871198,0.0002011503,0.00005149819,0.000003791287,0.00004883126,0.9988253,0.0001637621,0.0005153],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8175415,"threshold_uncertainty_score":0.6103846,"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."}}