{"id":"W6924556702","doi":"10.15468/dl.5bakhn","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009558636,0.001763645,0.001415512,0.004452013,0.001030245,0.002749241,0.002669949,0.001837515,0.1603512],"category_scores_gemma":[0.00616332,0.0008578814,0.001282829,0.008734123,0.0004308815,0.002326142,0.002556062,0.001929438,0.2397051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537633,"about_ca_system_score_gemma":0.002408039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180123,"about_ca_topic_score_gemma":0.03655717,"domain_scores_codex":[0.9989442,0.0001390089,0.0001358397,0.0003815859,0.0002263758,0.0001729101],"domain_scores_gemma":[0.9976552,0.0006238532,0.0001945153,0.0006439456,0.0006322564,0.0002502623],"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":[0.00002857302,0.0000105971,0.000474252,0.0004753464,0.00001409662,0.00001516321,0.00002667648,0.0001336459,0.000104225,0.0004122367,0.9963955,0.001909527],"study_design_scores_gemma":[0.00005822055,0.000006738194,0.00175717,0.0001545886,0.00001171377,0.00003170091,0.00007944514,0.0001813531,0.0001730223,0.0007921304,0.9967383,0.00001563185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005027644,0.00002830826,0.00006513642,0.00004557679,0.00001620759,0.000006483735,0.9983973,0.0005810687,0.0008097346],"genre_scores_gemma":[0.0001895921,0.00003592088,0.0002717116,0.00005100423,0.000004354075,0.00004717647,0.9985842,0.0001947768,0.0006212509],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8396488,"threshold_uncertainty_score":0.5364283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646785873366559,"score_gpt":0.3014756958703277,"score_spread":0.2750078371366621,"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."}}