{"id":"W6962400586","doi":"10.15468/dl.wggsyj","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); Alien; Range (aeronautics); Information system","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":[0.0008384283,0.001979496,0.001409129,0.004598921,0.0009289569,0.002277633,0.002529058,0.001843031,0.1523571],"category_scores_gemma":[0.005295657,0.0008463076,0.001162181,0.009249289,0.0004294763,0.002064512,0.002405023,0.001740248,0.2055222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384599,"about_ca_system_score_gemma":0.002191025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02070089,"about_ca_topic_score_gemma":0.03450073,"domain_scores_codex":[0.9990867,0.0001185681,0.0001145629,0.0003310677,0.0001904875,0.0001586399],"domain_scores_gemma":[0.9978884,0.0005813217,0.0002053843,0.0005495797,0.0005232666,0.0002519706],"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":[0.00003028759,0.00001142894,0.000412638,0.0004876596,0.000013442,0.00001434235,0.00002070848,0.0001327415,0.0001223304,0.0003390445,0.9969094,0.001506086],"study_design_scores_gemma":[0.00007438983,0.00001047672,0.00203664,0.0001718294,0.00001428169,0.00003850547,0.00006916261,0.0001652518,0.0001992074,0.0007622279,0.9964396,0.00001834379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005373472,0.00002658809,0.00004168469,0.00003398603,0.00001349871,0.000005261813,0.9987841,0.0003805008,0.0006606531],"genre_scores_gemma":[0.0001751366,0.00003267332,0.0001975178,0.00004549642,0.000003737563,0.00004055023,0.9988621,0.00014272,0.0004999237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.847643,"threshold_uncertainty_score":0.5096852,"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."}}