{"id":"W6905955985","doi":"10.15468/dl.qpw8ta","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); Confidentiality; 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":[0.0009311572,0.001890446,0.001588147,0.004813397,0.0009142931,0.002447743,0.002681643,0.001869708,0.1485064],"category_scores_gemma":[0.005336592,0.0008688395,0.001137173,0.009795923,0.0004267545,0.002146942,0.002436618,0.001857326,0.2131764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526227,"about_ca_system_score_gemma":0.002281343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02346512,"about_ca_topic_score_gemma":0.03948065,"domain_scores_codex":[0.9990139,0.0001312197,0.0001233808,0.0003335484,0.000229501,0.0001684024],"domain_scores_gemma":[0.9978497,0.0005612606,0.0002110597,0.00056435,0.0005507583,0.0002628933],"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":[0.0000288396,0.00001039412,0.0003831603,0.0005163709,0.00001520707,0.00001386898,0.0000228374,0.0001252086,0.0001105241,0.0003766136,0.9970118,0.001385112],"study_design_scores_gemma":[0.00006846377,0.000007932955,0.002087116,0.0001982167,0.00001468057,0.00003562427,0.00007522516,0.0001460748,0.0001909548,0.0007900584,0.9963683,0.0000172924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003879903,0.00002579059,0.00003871597,0.00002954662,0.000009955446,0.000004288993,0.9989349,0.0003268189,0.000591156],"genre_scores_gemma":[0.0001508398,0.00003059854,0.0001658031,0.00003726956,0.000002991603,0.00003213251,0.9990361,0.0001217523,0.0004225618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8514936,"threshold_uncertainty_score":0.4968035,"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."}}