{"id":"W6906034375","doi":"10.15468/dl.tqe8gh","title":"Occurrence Download","year":2021,"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":[0.001086736,0.001937505,0.001748418,0.005646667,0.0009163714,0.002509786,0.002816059,0.002081394,0.157692],"category_scores_gemma":[0.006557788,0.0009274313,0.00115628,0.01129134,0.0004451618,0.002163259,0.002365538,0.001994438,0.2007388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609491,"about_ca_system_score_gemma":0.002340943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023205,"about_ca_topic_score_gemma":0.03207256,"domain_scores_codex":[0.9988546,0.0001576675,0.0001609938,0.0003828222,0.0002606931,0.0001832413],"domain_scores_gemma":[0.9970638,0.000885331,0.0002914012,0.0007422848,0.0006990992,0.0003180366],"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":[0.00003387178,0.0000124961,0.000430315,0.0006307319,0.00001789447,0.00001615959,0.00002255684,0.0001518343,0.0001266822,0.0003758255,0.9967042,0.001477353],"study_design_scores_gemma":[0.00009091774,0.000009543133,0.002336871,0.0002173304,0.00001755539,0.00003911513,0.00007230402,0.0001637775,0.0002021514,0.0007318297,0.9960995,0.00001913098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003646109,0.00002292147,0.00003262701,0.00002804263,0.000008530386,0.000004555292,0.9991632,0.000253058,0.0004505984],"genre_scores_gemma":[0.0001477326,0.00002967521,0.0001579782,0.00003538669,0.000003076107,0.00004016094,0.9991052,0.0001032809,0.0003775104],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.842308,"threshold_uncertainty_score":0.5275321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}