{"id":"W6962244384","doi":"10.15468/dl.ugcvut","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; 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":[0.001021638,0.001904865,0.001543155,0.004875624,0.001018808,0.00260198,0.00274804,0.002095208,0.1672287],"category_scores_gemma":[0.006252656,0.0008957099,0.001238597,0.009071525,0.0004479384,0.002418599,0.002616816,0.001996812,0.2256759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149736,"about_ca_system_score_gemma":0.0022908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02086401,"about_ca_topic_score_gemma":0.03330883,"domain_scores_codex":[0.99896,0.0001451117,0.0001313352,0.0003622424,0.000228333,0.0001729741],"domain_scores_gemma":[0.9973148,0.0008048623,0.0002307483,0.0007055148,0.0006543584,0.000289772],"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":[0.00002698328,0.00001194259,0.0003920147,0.0005091651,0.00001325427,0.0000155246,0.00002353394,0.0001183361,0.0001082689,0.0003495595,0.9970055,0.00142585],"study_design_scores_gemma":[0.00007232064,0.000009055935,0.001944467,0.0002077418,0.00001396847,0.00003841759,0.00008238438,0.0001725883,0.0001918876,0.0007759275,0.9964729,0.0000182001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000457012,0.00002642575,0.00004850825,0.000041202,0.0000138679,0.000006265599,0.9987422,0.0004348108,0.0006411295],"genre_scores_gemma":[0.000170396,0.00003363841,0.0002174362,0.00005117592,0.000004151016,0.00004813088,0.9988134,0.0001673535,0.0004943408],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8327714,"threshold_uncertainty_score":0.5594356,"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."}}