{"id":"W7083688952","doi":"10.15468/dl.4ch5ah","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"European Linguistics and Anthropology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; 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":[0.001085646,0.002087469,0.001591512,0.005150347,0.001067354,0.00265072,0.002972491,0.002210973,0.1324964],"category_scores_gemma":[0.006201222,0.0009409506,0.001245031,0.009126551,0.0005193016,0.002484855,0.002855169,0.002195917,0.1990497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001758426,"about_ca_system_score_gemma":0.00255762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02296649,"about_ca_topic_score_gemma":0.0419855,"domain_scores_codex":[0.9987578,0.0001843602,0.000158805,0.0004191768,0.0002779451,0.0002019226],"domain_scores_gemma":[0.9972807,0.0006896115,0.0002482209,0.0007789657,0.0006770412,0.0003253768],"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":[0.00002987416,0.00001188671,0.0003320592,0.0004799271,0.00001411109,0.00001420954,0.00002289575,0.0001051133,0.0001007114,0.0003769997,0.9973213,0.001190827],"study_design_scores_gemma":[0.0000836382,0.000008429935,0.001758389,0.0001714544,0.00001253529,0.00003684131,0.00007122435,0.0001552601,0.0001809188,0.000773922,0.9967307,0.00001679771],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004786268,0.00002731026,0.00004193567,0.00004120166,0.00001290434,0.000006667555,0.9987739,0.0004079404,0.0006402553],"genre_scores_gemma":[0.0001527155,0.0000303376,0.0001763211,0.00004692295,0.000003567292,0.00004063167,0.998987,0.0001361807,0.0004262535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8675036,"threshold_uncertainty_score":0.4432446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806173362038481,"score_gpt":0.2803691455516317,"score_spread":0.2623074119312469,"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."}}