{"id":"W6924633970","doi":"10.15468/dl.ujkrra","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Field (mathematics); 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":[0.0009355566,0.001856149,0.001450529,0.004787111,0.0008658857,0.002246609,0.002638537,0.002030161,0.1091577],"category_scores_gemma":[0.005447043,0.0007816334,0.001196695,0.009091813,0.0004379735,0.00180883,0.002226182,0.001843365,0.1558275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556729,"about_ca_system_score_gemma":0.002201823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02259952,"about_ca_topic_score_gemma":0.03677123,"domain_scores_codex":[0.9990059,0.0001405772,0.0001381003,0.0003239301,0.0002320621,0.0001594027],"domain_scores_gemma":[0.9978725,0.0005659055,0.0002264601,0.0005550302,0.0005292808,0.0002508191],"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":[0.00003674871,0.00001422346,0.0005324065,0.0006292266,0.0000208325,0.00001911973,0.0000241762,0.0001734185,0.0001438069,0.000408196,0.9963782,0.001619559],"study_design_scores_gemma":[0.00009832903,0.00001070591,0.002737906,0.0002139363,0.00001917737,0.00004380398,0.00007388021,0.0002008401,0.0002195988,0.0008038232,0.995559,0.00001897319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005390443,0.00002850507,0.00003669854,0.00003458059,0.00001022089,0.000005560384,0.9990037,0.0002981763,0.0005287307],"genre_scores_gemma":[0.0001865275,0.00003501588,0.0001674886,0.00004203612,0.000003227658,0.00003940156,0.9990615,0.00009288204,0.000371905],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8908423,"threshold_uncertainty_score":0.3651688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839312047686878,"score_gpt":0.2713303765876233,"score_spread":0.2529372561107545,"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."}}