{"id":"W6943120718","doi":"10.15468/dl.r6zxwy","title":"Occurrence Download","year":2021,"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); State (computer science); Confidentiality","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":[0.001029871,0.001953952,0.00172168,0.005541862,0.0009332817,0.002656273,0.002977101,0.002053887,0.179503],"category_scores_gemma":[0.006118967,0.0009918333,0.001154475,0.01125296,0.0004627284,0.002429114,0.002568034,0.002055822,0.2396074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165755,"about_ca_system_score_gemma":0.002298872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986495,"about_ca_topic_score_gemma":0.03112166,"domain_scores_codex":[0.9989614,0.0001357757,0.0001393268,0.0003603107,0.0002273995,0.0001757087],"domain_scores_gemma":[0.9974205,0.0007175984,0.0002535019,0.000670446,0.0006400299,0.0002978531],"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":[0.00002816038,0.00001101163,0.0003588421,0.0005953239,0.0000150191,0.00001368543,0.0000235465,0.0001293092,0.0001076419,0.0003942678,0.9968065,0.001516715],"study_design_scores_gemma":[0.0000655422,0.000007105111,0.00165769,0.0001877088,0.00001327592,0.00003073293,0.00006804367,0.0001280635,0.0001644795,0.0006761468,0.9969854,0.00001577266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000342624,0.00002386458,0.00003770273,0.00002957175,0.00001009199,0.000004911915,0.998997,0.0002920244,0.0005705039],"genre_scores_gemma":[0.0001429139,0.00003326641,0.0001791183,0.00003633537,0.000003159973,0.00004137806,0.9989672,0.000134447,0.0004622592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.820497,"threshold_uncertainty_score":0.6004972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}