{"id":"W6905848900","doi":"10.15468/dl.sjzq2g","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0008216118,0.001943526,0.001383528,0.00454908,0.0009742968,0.002231285,0.002644061,0.001759301,0.136112],"category_scores_gemma":[0.005320496,0.0008292028,0.001188889,0.008930014,0.0004247852,0.002095439,0.002398132,0.001697609,0.1896187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490272,"about_ca_system_score_gemma":0.00233247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02510465,"about_ca_topic_score_gemma":0.0435496,"domain_scores_codex":[0.9990416,0.0001194431,0.0001267629,0.0003348887,0.0002178292,0.0001594483],"domain_scores_gemma":[0.9978823,0.0005458668,0.0002047351,0.0005528367,0.0005648574,0.0002494535],"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":[0.0000326224,0.00001221368,0.0004285238,0.000481281,0.00001379027,0.00001547128,0.000023937,0.0001247762,0.0001297014,0.0003804978,0.9967247,0.001632568],"study_design_scores_gemma":[0.0000723199,0.00001034561,0.00208491,0.0001728988,0.00001449957,0.00004447655,0.00007409347,0.0001775985,0.0002176962,0.0007582846,0.9963545,0.00001846201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005995388,0.00003004115,0.00004938341,0.00003473824,0.0000126732,0.000005554939,0.9985843,0.0004895581,0.0007338964],"genre_scores_gemma":[0.0001673549,0.00003074047,0.0002108982,0.00004018082,0.000002984238,0.00003273164,0.9989164,0.0001388746,0.0004598738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.863888,"threshold_uncertainty_score":0.4553401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}