{"id":"W6905594924","doi":"10.15468/dl.6xfbum","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 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":[0.001058379,0.001997435,0.001558174,0.005214537,0.0009897745,0.002582775,0.002844697,0.001975679,0.1555104],"category_scores_gemma":[0.006125025,0.0009023421,0.001172401,0.009701268,0.0004463837,0.00226843,0.002560962,0.001946657,0.219825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611475,"about_ca_system_score_gemma":0.002488122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0222905,"about_ca_topic_score_gemma":0.03724093,"domain_scores_codex":[0.9988573,0.0001635008,0.0001526574,0.0003813712,0.0002549207,0.0001902664],"domain_scores_gemma":[0.9974004,0.0006932004,0.0002437429,0.0007144435,0.000646026,0.0003022788],"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":[0.00003098042,0.00001070714,0.0003282885,0.0005180474,0.00001526629,0.00001420004,0.00002125473,0.000112216,0.0001138995,0.0003835687,0.9971091,0.001342463],"study_design_scores_gemma":[0.00006843513,0.000007611637,0.001689963,0.0001738562,0.00001393101,0.00003518941,0.00006081228,0.0001244811,0.0001881603,0.0007595948,0.9968609,0.00001714566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003790985,0.00002593492,0.00004135711,0.00003349181,0.00001078328,0.000005266915,0.9988385,0.0003713421,0.0006354527],"genre_scores_gemma":[0.0001442802,0.0000304673,0.0001688004,0.00004314049,0.000003077749,0.00003489854,0.9990208,0.0001295245,0.0004250154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444896,"threshold_uncertainty_score":0.520234,"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."}}