{"id":"W6887212983","doi":"10.15468/dl.wftc2g","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); State (computer science); Confidentiality","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":[0.0009684534,0.001922481,0.001482378,0.004779062,0.0009611442,0.002372132,0.002780486,0.001997457,0.1466804],"category_scores_gemma":[0.005487887,0.0008693827,0.00111374,0.008898989,0.0004479393,0.002188309,0.002464543,0.001934882,0.202924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536895,"about_ca_system_score_gemma":0.002149755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010766,"about_ca_topic_score_gemma":0.03392681,"domain_scores_codex":[0.9990442,0.0001320411,0.0001174428,0.0003364415,0.0002095995,0.0001601816],"domain_scores_gemma":[0.9977412,0.0006355778,0.0002173206,0.0006079258,0.0005252371,0.0002727299],"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":[0.00003035646,0.00001251534,0.0004044464,0.000528936,0.00001481035,0.00001592324,0.00002450107,0.0001435477,0.0001289199,0.00039007,0.9968624,0.001443667],"study_design_scores_gemma":[0.00007634752,0.000008671102,0.001946877,0.0001836247,0.00001422507,0.00003967045,0.00007550217,0.0001726784,0.0002059351,0.0007874573,0.996471,0.00001800919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005114226,0.00002740418,0.00004825291,0.00003607708,0.00001279601,0.000005440154,0.9987658,0.0003897167,0.0006634158],"genre_scores_gemma":[0.0001776469,0.00003072217,0.0001983214,0.00004327631,0.000003449188,0.00004203317,0.9989095,0.0001415975,0.0004534436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8533195,"threshold_uncertainty_score":0.490695,"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."}}