{"id":"W6962025084","doi":"10.15468/dl.pp5htj","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); 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":[0.001148126,0.001897118,0.001687454,0.005525779,0.001067632,0.002923845,0.003047886,0.001993662,0.1897523],"category_scores_gemma":[0.006785566,0.001002984,0.001159601,0.01128545,0.0004592385,0.002487469,0.002687851,0.002034842,0.2532085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611967,"about_ca_system_score_gemma":0.002469162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02072283,"about_ca_topic_score_gemma":0.03407555,"domain_scores_codex":[0.9988396,0.0001581374,0.0001506617,0.0004048758,0.0002595157,0.0001872701],"domain_scores_gemma":[0.9972345,0.0008082164,0.0002554598,0.0007135845,0.0006861271,0.0003020683],"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":[0.00002616437,0.000009327136,0.0003152648,0.0005428506,0.0000145476,0.00001370485,0.00002337461,0.0001012286,0.0001075003,0.0003952981,0.9970832,0.001367492],"study_design_scores_gemma":[0.00005468193,0.000005973696,0.001454115,0.0001818611,0.00001310854,0.00003105783,0.00006570931,0.0001034065,0.0001606675,0.0007246685,0.9971889,0.00001587084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003297599,0.00002609312,0.00004937576,0.00003314692,0.0000110854,0.000004930929,0.9987572,0.0003745887,0.0007105965],"genre_scores_gemma":[0.0001483911,0.00003584441,0.0002018498,0.00004441628,0.000003373347,0.00004193719,0.9988216,0.000189436,0.0005132094],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8102478,"threshold_uncertainty_score":0.6347845,"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."}}