{"id":"W7106210985","doi":"10.15468/dl.w3qee6","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); Data set; Real world data","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":[0.0008830185,0.001640386,0.001405394,0.004835907,0.0008778739,0.002289525,0.002462234,0.00164559,0.1515086],"category_scores_gemma":[0.005080972,0.0007736385,0.00101142,0.01034459,0.0003975298,0.001999331,0.0021856,0.001723835,0.1995098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663854,"about_ca_system_score_gemma":0.002705544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03545106,"about_ca_topic_score_gemma":0.05947957,"domain_scores_codex":[0.9990724,0.000117696,0.0001083586,0.0003164718,0.0002191697,0.0001658486],"domain_scores_gemma":[0.9977176,0.0005486164,0.0002305667,0.000582993,0.0006313031,0.0002888186],"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":[0.00002434659,0.000008817261,0.0003930348,0.0004125523,0.00001383397,0.00001149817,0.00001960829,0.0001262563,0.00009424912,0.00035511,0.9971055,0.001435095],"study_design_scores_gemma":[0.00005835243,0.000007187736,0.002374414,0.0001793192,0.00001385344,0.00002827091,0.00007356816,0.0001467123,0.0001812745,0.0007332207,0.9961866,0.00001740395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003542863,0.00002004962,0.00003587159,0.00002480529,0.000009376039,0.000004018728,0.9990271,0.0002798238,0.0005635456],"genre_scores_gemma":[0.0001615784,0.00002663714,0.0001728592,0.00003424641,0.000003034812,0.00003100184,0.9989899,0.0001084377,0.0004722547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1515086,"threshold_uncertainty_score":0.5068469,"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."}}