{"id":"W6887069479","doi":"10.15468/dl.ppttg8","title":"Occurrence Download","year":2025,"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); Set (abstract data type)","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":[0.0009143123,0.002001794,0.001550028,0.004806086,0.001050217,0.002499065,0.002852964,0.002005317,0.1539355],"category_scores_gemma":[0.0059229,0.0009116751,0.001293079,0.009452621,0.0004522984,0.002337539,0.002617767,0.00197408,0.2121032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697707,"about_ca_system_score_gemma":0.002417053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02806244,"about_ca_topic_score_gemma":0.04326044,"domain_scores_codex":[0.9989991,0.0001269618,0.0001269047,0.0003485203,0.0002332885,0.0001652111],"domain_scores_gemma":[0.9977119,0.0006390341,0.000198259,0.0006085773,0.0005883629,0.0002537934],"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":[0.00002753538,0.00001068699,0.0003785414,0.00047849,0.00001456186,0.00001526601,0.00002476624,0.0001281158,0.000106719,0.0003554039,0.9969722,0.00148775],"study_design_scores_gemma":[0.0000718662,0.000008470651,0.002002556,0.0001951682,0.00001505174,0.00004159348,0.00008750184,0.000189417,0.0001935198,0.0007841307,0.9963925,0.00001813282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004677332,0.00002978727,0.0000509457,0.00004161673,0.0000133548,0.000005449487,0.9986527,0.0005007478,0.0006585571],"genre_scores_gemma":[0.0001673447,0.00003284361,0.000203638,0.00004506515,0.000003325287,0.00003677935,0.9989021,0.0001631878,0.0004456328],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8460644,"threshold_uncertainty_score":0.5149657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}