{"id":"W6905797226","doi":"10.15468/dl.ms4mf7","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); Order (exchange); Data set","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":[0.001030399,0.001879042,0.001682771,0.005151264,0.000995414,0.002703952,0.00293225,0.002045887,0.1635312],"category_scores_gemma":[0.006061643,0.0009406664,0.00117197,0.01023349,0.0004375283,0.002527527,0.002614483,0.00198702,0.2284824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637293,"about_ca_system_score_gemma":0.002321778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02092692,"about_ca_topic_score_gemma":0.03582924,"domain_scores_codex":[0.9989317,0.0001429689,0.0001449779,0.0003783308,0.0002301502,0.0001718967],"domain_scores_gemma":[0.9975529,0.0006806853,0.0002317834,0.0006273521,0.0006298525,0.0002773147],"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":[0.00002870986,0.0000108829,0.0003610541,0.000617723,0.00001558261,0.00001499941,0.00002504727,0.0001219031,0.0001180531,0.0004240274,0.9967496,0.001512342],"study_design_scores_gemma":[0.00005879965,0.000006912027,0.001586431,0.0002009507,0.00001373753,0.00003231645,0.0000707878,0.0001256325,0.000167458,0.0007196988,0.9970009,0.00001635089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003490268,0.00002583246,0.00004360876,0.00003077057,0.00001088894,0.000004806422,0.9989328,0.00030501,0.0006113633],"genre_scores_gemma":[0.0001465196,0.00003491712,0.0001979909,0.00003997225,0.000003259593,0.0000388488,0.9989525,0.0001317478,0.0004542674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8364688,"threshold_uncertainty_score":0.5470665,"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."}}