{"id":"W6943746359","doi":"10.15468/dl.xsv2jh","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); The Internet","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":[0.0009185641,0.002074057,0.001498688,0.004594269,0.0009658695,0.002401548,0.002665622,0.001997713,0.1502585],"category_scores_gemma":[0.005565719,0.0008962461,0.001255578,0.009160313,0.0004400336,0.002134889,0.002469557,0.001850251,0.2061154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455105,"about_ca_system_score_gemma":0.002320374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02046187,"about_ca_topic_score_gemma":0.03390737,"domain_scores_codex":[0.9989874,0.0001352264,0.0001265795,0.000368166,0.0002101418,0.000172405],"domain_scores_gemma":[0.9977145,0.0006500817,0.0002171474,0.0005947931,0.0005571659,0.0002661746],"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":[0.0000336481,0.00001274877,0.0004127826,0.0005185612,0.00001482372,0.00001490581,0.00002052564,0.0001358795,0.0001313095,0.0003497112,0.9969119,0.001443142],"study_design_scores_gemma":[0.00008550017,0.00001184567,0.002036064,0.0001835489,0.00001613933,0.00003996657,0.00006865901,0.0001757327,0.0002247599,0.0008153599,0.9963226,0.00001983998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005025568,0.00002651394,0.00004100391,0.00003475768,0.00001323558,0.000005295,0.9988343,0.0003849787,0.0006097615],"genre_scores_gemma":[0.0001631228,0.00003203474,0.0001903264,0.00004661223,0.000003595374,0.00003991878,0.9989147,0.0001413373,0.0004683515],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8497415,"threshold_uncertainty_score":0.5026648,"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."}}