{"id":"W6905796844","doi":"10.15468/dl.musx4j","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); Data collection; 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":[0.00102264,0.001967835,0.001619552,0.005700918,0.001011228,0.002652123,0.002730827,0.001930352,0.1775044],"category_scores_gemma":[0.00606131,0.0009111589,0.00118355,0.0105043,0.0004462775,0.00241657,0.00271228,0.001966587,0.2500587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001633722,"about_ca_system_score_gemma":0.002521046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.023125,"about_ca_topic_score_gemma":0.0377916,"domain_scores_codex":[0.9988692,0.0001476481,0.0001495019,0.0003746775,0.0002583859,0.0002004608],"domain_scores_gemma":[0.9974371,0.0006602411,0.0002446415,0.0006469351,0.000691076,0.0003200204],"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":[0.00002832607,0.000009337882,0.0003046379,0.0005175196,0.00001359375,0.00001276414,0.00001965262,0.0000925104,0.0001036285,0.0003486034,0.9972053,0.001344093],"study_design_scores_gemma":[0.00006409555,0.000007389109,0.001588195,0.0001921011,0.00001362821,0.00003264851,0.0000613954,0.0001048862,0.0001728166,0.0006676134,0.9970791,0.00001606323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003362853,0.00002713571,0.00003654589,0.00003172465,0.00001089607,0.000004981228,0.9988668,0.0003229166,0.0006653433],"genre_scores_gemma":[0.0001352594,0.00003506303,0.0001649011,0.00004612936,0.000003461412,0.00003468707,0.9989692,0.0001338189,0.000477441],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8224956,"threshold_uncertainty_score":0.5938115,"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."}}