{"id":"W6962237652","doi":"10.15468/dl.vd3ufd","title":"Occurrence Download","year":2023,"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); Complement (music); Reference data","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":[0.001020799,0.001965078,0.001591745,0.004954909,0.0009787178,0.0025044,0.00277653,0.00200326,0.1555245],"category_scores_gemma":[0.005970626,0.0009628944,0.001189657,0.009953278,0.0004600591,0.002227227,0.002579425,0.002055371,0.2076628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635789,"about_ca_system_score_gemma":0.002407518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02373551,"about_ca_topic_score_gemma":0.03683852,"domain_scores_codex":[0.9989876,0.0001333984,0.0001324782,0.0003455445,0.0002285517,0.0001724332],"domain_scores_gemma":[0.9975963,0.0006874327,0.0002325838,0.0006300205,0.0005786473,0.0002749575],"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":[0.00002938006,0.00001100889,0.0003899673,0.0005321632,0.00001560822,0.00001509223,0.00002646194,0.0001319168,0.000127289,0.0004009248,0.9969069,0.00141323],"study_design_scores_gemma":[0.00007398186,0.000007536497,0.001914419,0.0001914105,0.0000149043,0.00003737416,0.00007631159,0.0001527596,0.0002035836,0.000749903,0.9965599,0.00001790137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003981247,0.00002305956,0.00004556098,0.00003251401,0.00001084073,0.000005017042,0.9988869,0.0003812885,0.0005749592],"genre_scores_gemma":[0.0001582158,0.00003065858,0.0002021343,0.00004155728,0.000002997033,0.00004145883,0.9989422,0.0001682795,0.0004125858],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444755,"threshold_uncertainty_score":0.5202812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}