{"id":"W6924510273","doi":"10.15468/dl.5w4ye2","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); Invasive species","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":[0.0007580452,0.002948581,0.002199818,0.006603921,0.00141029,0.003760789,0.002893743,0.002851628,0.2151457],"category_scores_gemma":[0.006124717,0.0009511844,0.001780056,0.01010372,0.0004307484,0.004185001,0.003701606,0.00223133,0.3304557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808506,"about_ca_system_score_gemma":0.002335781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01909268,"about_ca_topic_score_gemma":0.0352607,"domain_scores_codex":[0.9987441,0.0001391381,0.0001744179,0.0004432519,0.0002809042,0.0002181149],"domain_scores_gemma":[0.9977722,0.0005486145,0.0001844717,0.0005700897,0.0006114429,0.000313127],"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":[0.00006126698,0.00001840774,0.0004378438,0.0006422108,0.00001575834,0.00003538844,0.0000263461,0.000121409,0.0001333581,0.0004520817,0.9947469,0.003309058],"study_design_scores_gemma":[0.00007845467,0.00001712192,0.001490433,0.0002009706,0.00001639764,0.00008507213,0.00009226824,0.000476231,0.0002082605,0.001306886,0.9960046,0.00002324266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001154525,0.0001182304,0.0001547093,0.0001018682,0.00003457949,0.0000150976,0.9945251,0.002709172,0.002225885],"genre_scores_gemma":[0.0003361549,0.00008406798,0.0004978026,0.0001186933,0.00001080027,0.000046997,0.9974937,0.000398803,0.001012975],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7848543,"threshold_uncertainty_score":0.7197341,"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."}}