{"id":"W6905647044","doi":"10.15468/dl.lmdmap","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); Data set; 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":[0.0009178367,0.001906188,0.001597937,0.00508649,0.0009482662,0.002568706,0.002806777,0.002045626,0.1355266],"category_scores_gemma":[0.005511085,0.0008303642,0.001146676,0.01025111,0.0004071762,0.002347687,0.002495955,0.002045902,0.1933552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151317,"about_ca_system_score_gemma":0.002204889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01834538,"about_ca_topic_score_gemma":0.03174252,"domain_scores_codex":[0.9989948,0.0001317374,0.0001302917,0.0003449971,0.0002308532,0.0001674232],"domain_scores_gemma":[0.9977292,0.0006094905,0.0002343757,0.0006027687,0.0005581229,0.0002659127],"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":[0.00002851611,0.00001246609,0.0004317042,0.0005304198,0.00001663056,0.00001540096,0.00002334464,0.0001395082,0.0001211475,0.0004191377,0.9967541,0.001507601],"study_design_scores_gemma":[0.00006874408,0.000008078089,0.001980912,0.0001915568,0.00001522379,0.00003813758,0.00006998778,0.000162657,0.0001847118,0.0007910725,0.9964724,0.00001653713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004835505,0.00003142055,0.00004474074,0.0000354237,0.00001233068,0.000004916947,0.9988785,0.0003304799,0.000613784],"genre_scores_gemma":[0.0001563905,0.00003328897,0.0001759053,0.0000378317,0.000003320528,0.00003475816,0.9990327,0.0001061178,0.0004197392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8644733,"threshold_uncertainty_score":0.4533817,"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."}}