{"id":"W6924272355","doi":"10.15468/dl.4skgva","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.0009616305,0.002073958,0.001461215,0.004385725,0.001056587,0.002405559,0.002948434,0.002045218,0.1198417],"category_scores_gemma":[0.006143488,0.0008678388,0.001334748,0.008380639,0.0004565019,0.002324891,0.002498329,0.002101576,0.1938412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605999,"about_ca_system_score_gemma":0.002339742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02378568,"about_ca_topic_score_gemma":0.03887137,"domain_scores_codex":[0.9989256,0.0001432675,0.0001425342,0.0003635027,0.0002584895,0.000166559],"domain_scores_gemma":[0.9976575,0.0006073776,0.0001914469,0.0006792437,0.000605218,0.0002591354],"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":[0.00002787931,0.00001236288,0.000354393,0.0003890646,0.00001284543,0.00001535633,0.0000217324,0.0001212852,0.00009879918,0.0003288486,0.9972358,0.001381619],"study_design_scores_gemma":[0.0000828806,0.000009927113,0.00200111,0.0001680591,0.00001436559,0.00005021998,0.00008869787,0.0002603889,0.0002370106,0.0008835447,0.9961849,0.00001883447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006203895,0.00003290577,0.00006734701,0.00005313496,0.00001605378,0.000007841355,0.9983199,0.0007060471,0.000734663],"genre_scores_gemma":[0.0001679109,0.00002913931,0.0002325998,0.00004499591,0.000003413676,0.00004059177,0.9989372,0.0001548402,0.0003892637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8801583,"threshold_uncertainty_score":0.4009104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761864349018661,"score_gpt":0.2888078212483628,"score_spread":0.2511891777581762,"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."}}