{"id":"W6943205502","doi":"10.15468/dl.n4ydqt","title":"Occurrence Download","year":2022,"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); 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":[0.001018341,0.001934897,0.001648429,0.005139496,0.0009280695,0.002516916,0.002702205,0.002018402,0.1556779],"category_scores_gemma":[0.006236694,0.0009012985,0.001168444,0.01029235,0.0004325527,0.00220145,0.002442041,0.001882868,0.2081502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532858,"about_ca_system_score_gemma":0.002221311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02005314,"about_ca_topic_score_gemma":0.03265718,"domain_scores_codex":[0.9989067,0.0001497638,0.0001469183,0.0003766865,0.0002441471,0.0001757781],"domain_scores_gemma":[0.9973899,0.0007535463,0.0002515235,0.0006691226,0.0006409197,0.0002951194],"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":[0.00003211372,0.00001167699,0.0004095605,0.0006126475,0.00001702824,0.0000155664,0.00002298065,0.0001370796,0.0001257377,0.0003687115,0.9967728,0.00147399],"study_design_scores_gemma":[0.00008319146,0.000009420523,0.002149351,0.0002143482,0.00001633536,0.00003872756,0.00007065009,0.0001549234,0.0001875326,0.0007497761,0.9963071,0.0000185358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003965754,0.00002645357,0.00003701467,0.00003096557,0.0000102694,0.00000481549,0.9990436,0.0002934812,0.0005136139],"genre_scores_gemma":[0.0001554753,0.00003258738,0.0001688462,0.00004096094,0.000003428336,0.00004052866,0.9990482,0.0001170644,0.0003928828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8443221,"threshold_uncertainty_score":0.5207944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}