{"id":"W6943188178","doi":"10.15468/dl.7uc9u3","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); Confidentiality","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":[0.00095236,0.001930046,0.001626573,0.005573595,0.0009631054,0.002610385,0.002785455,0.001913083,0.1664782],"category_scores_gemma":[0.005534572,0.0008939978,0.001170311,0.01050934,0.000446216,0.002222431,0.002701894,0.001853895,0.2228644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626724,"about_ca_system_score_gemma":0.002424688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02224383,"about_ca_topic_score_gemma":0.03730338,"domain_scores_codex":[0.9989818,0.000130914,0.0001400092,0.0003453024,0.0002242296,0.0001777026],"domain_scores_gemma":[0.9976926,0.0005946995,0.0002366914,0.0006007893,0.0005905365,0.0002847174],"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":[0.00003422019,0.00001127531,0.0003832827,0.0006712927,0.0000174855,0.00001631053,0.00002590432,0.0001262723,0.0001406579,0.0004277522,0.9964768,0.00166867],"study_design_scores_gemma":[0.00006629219,0.000007439543,0.001742022,0.0002029874,0.0000146239,0.00003469676,0.00006399342,0.0001141099,0.0001806539,0.0007349008,0.9968213,0.00001688958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000382084,0.00002865952,0.0000376066,0.00002924554,0.00001021366,0.000004825066,0.9989038,0.0003258038,0.0006216113],"genre_scores_gemma":[0.0001515332,0.0000362808,0.0001753402,0.00004323516,0.000003189519,0.00003474199,0.9990024,0.0001307662,0.000422657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8335218,"threshold_uncertainty_score":0.5569249,"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."}}