{"id":"W6925094611","doi":"10.15468/dl.xjmzfb","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); The Internet; 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":[0.001136294,0.001993484,0.001666302,0.005349331,0.001092877,0.002892769,0.00300796,0.002072565,0.1823277],"category_scores_gemma":[0.0066158,0.001003785,0.001170523,0.01066285,0.0004648753,0.002549254,0.002689637,0.002104896,0.2482253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001645042,"about_ca_system_score_gemma":0.002490584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02228062,"about_ca_topic_score_gemma":0.03698755,"domain_scores_codex":[0.9988261,0.0001566206,0.0001539927,0.0004106337,0.000263149,0.0001895216],"domain_scores_gemma":[0.9972438,0.000794741,0.0002525415,0.0007173009,0.000681738,0.0003099481],"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":[0.00002615198,0.000009687674,0.0003228466,0.000502691,0.00001368104,0.00001380979,0.00002307488,0.000104148,0.0001062745,0.0003897115,0.9972017,0.001286251],"study_design_scores_gemma":[0.00006106067,0.000006383314,0.001510692,0.0001806289,0.00001328599,0.00003309121,0.0000691916,0.0001199747,0.0001694794,0.000745295,0.997074,0.00001688345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003160207,0.00002224135,0.00004531176,0.00003147449,0.00001086344,0.000004466365,0.9988656,0.0003425159,0.0006458494],"genre_scores_gemma":[0.0001377841,0.00003187872,0.0001938876,0.00004192106,0.000003257583,0.0000384733,0.9988966,0.0001689817,0.0004872468],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8176723,"threshold_uncertainty_score":0.609947,"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."}}