{"id":"W6943894791","doi":"10.15468/dl.v7y9md","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); Set (abstract data type)","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":[0.0009193146,0.002033288,0.00150012,0.00455498,0.001098111,0.002522306,0.003038923,0.002189283,0.1427567],"category_scores_gemma":[0.006254517,0.000910433,0.001333552,0.008424346,0.0004677998,0.002491721,0.002597001,0.002096313,0.2021045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682509,"about_ca_system_score_gemma":0.002400032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02659626,"about_ca_topic_score_gemma":0.04446316,"domain_scores_codex":[0.9989749,0.0001375224,0.0001251724,0.000364885,0.0002339611,0.0001634996],"domain_scores_gemma":[0.997605,0.0006739167,0.0001942099,0.0006754397,0.000587144,0.0002643389],"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":[0.00002843781,0.00001207936,0.0003686813,0.000454131,0.00001361431,0.00001558027,0.0000238738,0.00012684,0.0001027397,0.00035382,0.9970811,0.001419072],"study_design_scores_gemma":[0.00007646846,0.000009424713,0.001927988,0.0001877698,0.00001475368,0.00004588783,0.00008708911,0.0002173501,0.0002029232,0.0008629082,0.9963482,0.00001925634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005450365,0.00003232735,0.00005921135,0.00004964313,0.00001542674,0.00000690662,0.998436,0.0006101375,0.000735913],"genre_scores_gemma":[0.0001768334,0.00003249712,0.0002335974,0.00004926393,0.000003481328,0.0000421712,0.998827,0.000166226,0.0004687926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8572433,"threshold_uncertainty_score":0.4775687,"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."}}