{"id":"W6962110895","doi":"10.15468/dl.xvtvc4","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); Selection (genetic algorithm)","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":[0.0009318806,0.001971498,0.001634269,0.005552273,0.001024161,0.002694054,0.002860625,0.002161493,0.1582148],"category_scores_gemma":[0.006170094,0.0009340406,0.001176182,0.01109901,0.0004260964,0.002415645,0.002557481,0.001975068,0.2276864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001883189,"about_ca_system_score_gemma":0.002428638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02385063,"about_ca_topic_score_gemma":0.03669117,"domain_scores_codex":[0.9989572,0.0001306569,0.0001429933,0.0003613121,0.000236747,0.0001710634],"domain_scores_gemma":[0.9977089,0.0006493494,0.0002124195,0.0005612965,0.0006073133,0.000260696],"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":[0.0000307054,0.00001174889,0.0003833024,0.0006515088,0.00001489019,0.00001698996,0.00002498923,0.0001354804,0.0001190169,0.0004043513,0.9964484,0.001758615],"study_design_scores_gemma":[0.00006415858,0.000007451201,0.001645259,0.000201576,0.00001320545,0.00003654419,0.00007338645,0.0001488513,0.0001624341,0.0006640686,0.9969675,0.00001567869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003968595,0.0000311248,0.00004232928,0.00003722511,0.00001081563,0.000005123911,0.9988263,0.0003525298,0.0006547552],"genre_scores_gemma":[0.0001481627,0.00004160154,0.0002038367,0.0000423258,0.000003225723,0.00003961432,0.9989138,0.000131385,0.0004760471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8417852,"threshold_uncertainty_score":0.5292814,"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."}}