{"id":"W6924432273","doi":"10.15468/dl.qqzfat","title":"Occurrence Download","year":2018,"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); Information system; 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":[0.000972782,0.002219103,0.001619639,0.005189344,0.001010185,0.002505448,0.003046063,0.002072704,0.1325973],"category_scores_gemma":[0.005746537,0.0009149637,0.001262803,0.009571628,0.0004647962,0.002394396,0.002773359,0.002192434,0.2099322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656554,"about_ca_system_score_gemma":0.002385126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0216949,"about_ca_topic_score_gemma":0.03776061,"domain_scores_codex":[0.9989412,0.000137065,0.0001290501,0.0003736449,0.000238393,0.0001805531],"domain_scores_gemma":[0.9976319,0.0005933581,0.0002250044,0.0006784882,0.0005856578,0.0002855428],"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":[0.000028042,0.0000119293,0.0003938173,0.0004969717,0.00001608736,0.00001508603,0.00002407233,0.0001347499,0.0001234794,0.0003791646,0.9969895,0.001387061],"study_design_scores_gemma":[0.00007025984,0.000008704504,0.001909242,0.0001692165,0.00001522273,0.00003994338,0.00007185182,0.0001744991,0.0001974779,0.0007580646,0.9965675,0.00001796885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004907566,0.00002992485,0.00005270963,0.00003618043,0.00001389122,0.000005474814,0.9987224,0.0004923556,0.0005979665],"genre_scores_gemma":[0.0001431137,0.00002865459,0.0001948254,0.00003415855,0.000003035904,0.00003486071,0.9990454,0.0001412307,0.0003746616],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8674027,"threshold_uncertainty_score":0.4435822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}