{"id":"W6943445022","doi":"10.15468/dl.t2wstm","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); Confidentiality; 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":[0.0009171545,0.001998489,0.001660689,0.005363606,0.0009642228,0.002552134,0.002791768,0.00203695,0.1614797],"category_scores_gemma":[0.005590688,0.0009054008,0.001154679,0.01057167,0.000453628,0.002136958,0.002498616,0.001899213,0.2133283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001494926,"about_ca_system_score_gemma":0.002268852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081598,"about_ca_topic_score_gemma":0.03562531,"domain_scores_codex":[0.9990463,0.0001251131,0.0001192019,0.0003373926,0.0002087621,0.0001631762],"domain_scores_gemma":[0.9977582,0.0006309959,0.0002183029,0.0005793459,0.0005454275,0.0002677248],"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":[0.00003248198,0.00001166063,0.0004307234,0.0006801391,0.00001869515,0.00001717905,0.00002603006,0.000144792,0.0001461414,0.0004024095,0.9964992,0.001590553],"study_design_scores_gemma":[0.00007354136,0.00000822688,0.001995028,0.000210852,0.00001685588,0.00003954205,0.0000712703,0.0001326259,0.0001899347,0.0007310276,0.9965133,0.00001784095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004222315,0.00003156444,0.00003989232,0.00002918128,0.0000105399,0.000004543365,0.9989451,0.0003184158,0.0005786163],"genre_scores_gemma":[0.000164091,0.00003646166,0.0001791453,0.00003932633,0.000003307652,0.00003711699,0.9989767,0.0001339738,0.0004299287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8385203,"threshold_uncertainty_score":0.5402035,"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."}}