{"id":"W7083688965","doi":"10.15468/dl.5ag4fm","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Set (abstract data type); Range (aeronautics); Data set; Field (mathematics)","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":[0.0009131791,0.002270046,0.00154876,0.005516469,0.0009929134,0.002501843,0.002814098,0.001853743,0.1533565],"category_scores_gemma":[0.005685247,0.0009235844,0.001272718,0.01004281,0.0004285815,0.002434014,0.002631917,0.001872865,0.2227961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629082,"about_ca_system_score_gemma":0.00250345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02295026,"about_ca_topic_score_gemma":0.03912774,"domain_scores_codex":[0.9988669,0.0001433764,0.0001508234,0.0003889509,0.0002619676,0.0001880098],"domain_scores_gemma":[0.9975303,0.0006053163,0.0002242053,0.0006436649,0.0006971544,0.000299467],"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":[0.00003276058,0.00001029101,0.00030237,0.0004549048,0.00001359153,0.00001382208,0.0000169669,0.0001084196,0.0001176433,0.0003477141,0.9971886,0.00139273],"study_design_scores_gemma":[0.00007069843,0.000008641505,0.001527997,0.0001504933,0.00001333034,0.00003781833,0.00005202675,0.0001530829,0.0002055515,0.0007833417,0.9969794,0.00001757043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000444212,0.00002873707,0.00004703807,0.00003472219,0.00001309015,0.000005439006,0.9985807,0.0005113481,0.0007346286],"genre_scores_gemma":[0.0001398226,0.00003334478,0.0001920086,0.00004592595,0.000003468824,0.00003051292,0.9989158,0.0001653562,0.0004738161],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466436,"threshold_uncertainty_score":0.5130285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116959082794947,"score_gpt":0.2070852442648293,"score_spread":0.1953893359853346,"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."}}