{"id":"W7108721985","doi":"10.15468/dl.cfkyke","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); Confidentiality; Information privacy","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":[],"consensus_categories":[],"category_scores_codex":[0.001143426,0.001775657,0.001605598,0.005025871,0.001000979,0.002658398,0.002858951,0.002062386,0.1712785],"category_scores_gemma":[0.006782174,0.0009531548,0.00109611,0.009752627,0.0004710291,0.002400658,0.002554997,0.002056844,0.2282665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712129,"about_ca_system_score_gemma":0.002499688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02253675,"about_ca_topic_score_gemma":0.03514734,"domain_scores_codex":[0.9988574,0.0001548548,0.0001508018,0.0003982561,0.0002548135,0.0001839967],"domain_scores_gemma":[0.997104,0.0008277811,0.0002922794,0.000745723,0.000706558,0.0003236305],"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":[0.00002690299,0.00001032308,0.000368068,0.0004980176,0.00001421762,0.00001194478,0.00002234718,0.0001141526,0.00009819462,0.0003730063,0.9970579,0.001404937],"study_design_scores_gemma":[0.0000681091,0.000007226233,0.001944335,0.0002026005,0.00001411068,0.00003080672,0.00007442763,0.0001337873,0.0001684559,0.0007256824,0.9966133,0.00001720164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003190219,0.00002123815,0.00003848557,0.0000316179,0.00001028075,0.000004299434,0.9990609,0.0002805574,0.0005207112],"genre_scores_gemma":[0.0001505572,0.0000303242,0.0001875334,0.00004169243,0.000003323695,0.00003826957,0.9989648,0.000130575,0.0004528276],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1712785,"threshold_uncertainty_score":0.5729836,"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."}}