{"id":"W7106549855","doi":"10.15468/dl.nabqz7","title":"Occurrence Download","year":2025,"lang":"","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)","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":[0.0009025868,0.001692973,0.001456733,0.005181639,0.0009783407,0.002870063,0.002522318,0.001809667,0.176216],"category_scores_gemma":[0.005566231,0.0008647709,0.001096735,0.01079774,0.0003642446,0.002362545,0.002300756,0.002083314,0.2464232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719055,"about_ca_system_score_gemma":0.002478465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02008581,"about_ca_topic_score_gemma":0.03239142,"domain_scores_codex":[0.998989,0.0001225372,0.0001292272,0.0003565993,0.0002313954,0.0001712479],"domain_scores_gemma":[0.9976584,0.000604705,0.0002434112,0.0005884962,0.0006109597,0.0002939868],"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":[0.00002281311,0.000008966142,0.0003344426,0.0003849327,0.00001025836,0.00001114127,0.00001760503,0.00009433775,0.0000802184,0.0003603745,0.9972857,0.001389224],"study_design_scores_gemma":[0.00004756786,0.000005402647,0.001611833,0.0001431217,0.000009575101,0.00002802887,0.00005973815,0.0001208469,0.0001427669,0.0006340896,0.9971836,0.00001329153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003232544,0.00001915771,0.00003370295,0.00003290402,0.0000108678,0.0000042438,0.9988506,0.0002806699,0.0007355609],"genre_scores_gemma":[0.0001436262,0.00002988878,0.0001978357,0.00004246092,0.000003533296,0.00003452957,0.9987978,0.0001264893,0.0006237811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.823784,"threshold_uncertainty_score":0.5895011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}