{"id":"W6962516468","doi":"10.15468/dl.xqw5z5","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":"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":[0.001008529,0.002051038,0.001713243,0.004898762,0.0009949133,0.002589071,0.002900481,0.002106756,0.1447814],"category_scores_gemma":[0.005678563,0.0009173834,0.001223067,0.009600679,0.0004505983,0.00223267,0.002571535,0.00204978,0.2098482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574359,"about_ca_system_score_gemma":0.002330625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02098226,"about_ca_topic_score_gemma":0.03459904,"domain_scores_codex":[0.9989116,0.0001467372,0.0001349062,0.0003861435,0.000246712,0.0001738721],"domain_scores_gemma":[0.9978344,0.0005990866,0.0002071826,0.0005686558,0.0005235692,0.0002670766],"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":[0.00003105581,0.00001153221,0.0003666601,0.0005544778,0.00001731182,0.00001469737,0.00002293658,0.0001332865,0.0001328983,0.0004001275,0.9969405,0.001374645],"study_design_scores_gemma":[0.00007873687,0.000008510851,0.001922057,0.0001920944,0.00001627308,0.00003950324,0.00006879391,0.0001544942,0.000211352,0.000815046,0.9964749,0.00001830552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004225988,0.00003102985,0.00004446017,0.00003349756,0.00001112057,0.000004615758,0.9988631,0.0003779288,0.000592035],"genre_scores_gemma":[0.0001541113,0.00003222485,0.000173632,0.00004175354,0.000002956691,0.00003323208,0.9990313,0.0001299616,0.000400917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8552186,"threshold_uncertainty_score":0.4843419,"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."}}