{"id":"W6943415012","doi":"10.15468/dl.mb9t2k","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); Robustness (evolution)","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":[0.001106405,0.002054556,0.001633086,0.005133661,0.001090826,0.002766815,0.002983321,0.002194534,0.1606655],"category_scores_gemma":[0.00648296,0.0009806625,0.001230333,0.009810043,0.0004797134,0.002551085,0.002696442,0.002161387,0.2242773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705318,"about_ca_system_score_gemma":0.002490924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02349439,"about_ca_topic_score_gemma":0.03794811,"domain_scores_codex":[0.9988095,0.0001657786,0.0001588599,0.0004155659,0.0002646216,0.0001858417],"domain_scores_gemma":[0.9971981,0.0008089155,0.0002549992,0.0007644309,0.0006689308,0.0003046192],"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":[0.00002823456,0.00001131036,0.0003466393,0.0004964849,0.00001411672,0.00001512429,0.00002435483,0.000117102,0.0001061488,0.0003909249,0.9971777,0.001271864],"study_design_scores_gemma":[0.00006911381,0.000007476339,0.00168952,0.0001790014,0.00001339703,0.00003798533,0.00007661658,0.0001455621,0.0001769327,0.0007618208,0.9968245,0.00001805702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003748448,0.00002347008,0.00004610779,0.00003647472,0.0000120339,0.000005046501,0.9988573,0.0003799481,0.0006022052],"genre_scores_gemma":[0.0001435386,0.00002945379,0.0001955574,0.00004195309,0.000003192835,0.00003805263,0.9989649,0.0001480502,0.0004353234],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8393345,"threshold_uncertainty_score":0.5374798,"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."}}