{"id":"W6906078650","doi":"10.15468/dl.yp7zu5","title":"Occurrence Download","year":2024,"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); Column (typography); Order (exchange)","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":[0.000912213,0.001867682,0.001611947,0.005410517,0.0009636029,0.00250171,0.002734848,0.001992346,0.1599444],"category_scores_gemma":[0.005737904,0.0008956225,0.001112743,0.01123634,0.0004250949,0.002208717,0.002393082,0.001878817,0.2025626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668219,"about_ca_system_score_gemma":0.002643739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02739603,"about_ca_topic_score_gemma":0.04368386,"domain_scores_codex":[0.9989882,0.0001299707,0.0001304052,0.0003496998,0.0002285097,0.0001731509],"domain_scores_gemma":[0.9976038,0.0006605109,0.000244507,0.000587733,0.0006151872,0.0002882865],"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":[0.00002946999,0.00001046137,0.0004004438,0.0005558691,0.00001630434,0.00001426767,0.00002242538,0.0001406894,0.0001156382,0.0003839528,0.9968944,0.001416096],"study_design_scores_gemma":[0.00007508488,0.000007709542,0.002017643,0.0001996107,0.00001620657,0.00003541266,0.00007210568,0.0001424839,0.0001795319,0.0007592385,0.9964764,0.000018619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003402136,0.00002270789,0.00003375538,0.00002736919,0.000009335614,0.000003909541,0.9991027,0.0002619523,0.000504229],"genre_scores_gemma":[0.0001462423,0.00003167241,0.0001696909,0.0000372055,0.000003050485,0.00003452576,0.9990315,0.0001136403,0.0004324294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8400556,"threshold_uncertainty_score":0.5350673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}