{"id":"W6924556747","doi":"10.15468/dl.k96ys4","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); 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":[0.0009164604,0.001902219,0.001509868,0.004890996,0.0009708784,0.002560054,0.00261602,0.001924883,0.1736874],"category_scores_gemma":[0.006112463,0.0009129712,0.001162268,0.009422736,0.0004235567,0.00229088,0.002547056,0.00186923,0.2304761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546802,"about_ca_system_score_gemma":0.002262706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995514,"about_ca_topic_score_gemma":0.03276755,"domain_scores_codex":[0.9989622,0.0001441689,0.0001291591,0.0003792988,0.0002136805,0.0001714789],"domain_scores_gemma":[0.9976516,0.000683668,0.0002221522,0.0005859035,0.0006001018,0.000256526],"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":[0.00002803192,0.00001048748,0.0003687179,0.0005422757,0.0000131989,0.00001352978,0.00002096761,0.0001090847,0.0001091593,0.0003583083,0.9969907,0.001435698],"study_design_scores_gemma":[0.00006366421,0.000008563081,0.001733792,0.0001940443,0.00001353887,0.00003417115,0.00006444957,0.0001352684,0.0001742344,0.0007281128,0.9968334,0.00001683764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004106275,0.000028401,0.00004270629,0.00003577635,0.00001268553,0.000005361871,0.9987901,0.0003750946,0.000668862],"genre_scores_gemma":[0.0001631016,0.00003884505,0.0001998742,0.0000503643,0.000003941057,0.00004779791,0.9987684,0.000164726,0.0005629597],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8263127,"threshold_uncertainty_score":0.5810421,"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."}}