{"id":"W6905940100","doi":"10.15468/dl.nuj7ff","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); Alien; The Internet","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":[0.0009990662,0.001978025,0.001583993,0.005014422,0.001022676,0.002596113,0.002693302,0.002155486,0.1585688],"category_scores_gemma":[0.006252976,0.0008828625,0.001256473,0.009362964,0.000449418,0.002330382,0.002555387,0.001957404,0.223043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550331,"about_ca_system_score_gemma":0.002315077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02191804,"about_ca_topic_score_gemma":0.03391718,"domain_scores_codex":[0.9989522,0.0001485592,0.0001321497,0.0003662125,0.0002286672,0.0001722078],"domain_scores_gemma":[0.9973823,0.0007871293,0.0002267762,0.0006765983,0.0006475354,0.0002796065],"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":[0.0000295191,0.00001255671,0.0004261677,0.0005617351,0.00001425921,0.00001635943,0.00002461492,0.000130896,0.0001172831,0.0003500263,0.996822,0.001494712],"study_design_scores_gemma":[0.00007426306,0.000009688947,0.002043848,0.0002185085,0.00001492783,0.00004003415,0.00008705454,0.0001767447,0.0001921954,0.000774951,0.9963489,0.00001887375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004723137,0.00002965868,0.00004551771,0.00004111982,0.00001368133,0.000006017498,0.9987828,0.0004103404,0.0006236848],"genre_scores_gemma":[0.0001750737,0.00003615684,0.0002064916,0.00004905208,0.000004026071,0.00004715741,0.9988596,0.0001480481,0.0004743162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8414311,"threshold_uncertainty_score":0.5304656,"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."}}