{"id":"W6887161361","doi":"10.15468/dl.qdxbwq","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); Data set; Set (abstract data type)","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":[0.000907452,0.001902207,0.001545359,0.004753273,0.001028636,0.002715316,0.002762777,0.001972355,0.1785116],"category_scores_gemma":[0.006474968,0.0009081534,0.001194577,0.009387303,0.0004334833,0.002392104,0.002595527,0.001984085,0.2404691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514439,"about_ca_system_score_gemma":0.002248699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02169258,"about_ca_topic_score_gemma":0.03578524,"domain_scores_codex":[0.9990213,0.0001314564,0.0001170389,0.0003546877,0.0002190091,0.0001564549],"domain_scores_gemma":[0.9976516,0.0007138446,0.0001965921,0.0005943769,0.000591039,0.0002524331],"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":[0.0000241316,0.00001003215,0.0003628497,0.0005125639,0.00001382219,0.00001339153,0.00002446958,0.0001200845,0.00009175406,0.0003562777,0.9969742,0.001496371],"study_design_scores_gemma":[0.00005984449,0.00000706365,0.001633016,0.0001953103,0.00001422201,0.00003395448,0.00007649754,0.0001612239,0.0001620585,0.0007795902,0.9968611,0.00001613308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004038107,0.00003107163,0.00005131687,0.00004058937,0.00001289605,0.000005425052,0.9986829,0.0004294197,0.0007059943],"genre_scores_gemma":[0.0001770504,0.00003954436,0.0002281238,0.00005010411,0.0000038485,0.00004841982,0.9986828,0.0001891714,0.0005809614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8214884,"threshold_uncertainty_score":0.5971808,"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."}}