{"id":"W6943486707","doi":"10.15468/dl.mpamut","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; Column (typography)","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":[0.00101698,0.002069694,0.001666899,0.005053509,0.00103342,0.002603095,0.002915503,0.002152057,0.161895],"category_scores_gemma":[0.005915035,0.0009411756,0.001178299,0.009623639,0.0004772603,0.002447859,0.002675664,0.002090967,0.2236453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546167,"about_ca_system_score_gemma":0.002316761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999377,"about_ca_topic_score_gemma":0.03482626,"domain_scores_codex":[0.9989506,0.0001484386,0.0001314222,0.0003722297,0.0002275864,0.0001696841],"domain_scores_gemma":[0.9975146,0.0007020325,0.0002304776,0.0006765241,0.0005857023,0.0002907289],"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":[0.00002967483,0.00001187874,0.0003511971,0.0005388708,0.00001432449,0.00001530635,0.00002507726,0.0001241288,0.0001184791,0.0003847483,0.9970248,0.001361469],"study_design_scores_gemma":[0.00007314426,0.000007785123,0.001676871,0.0001749505,0.00001312856,0.00003606137,0.00007247061,0.0001373539,0.0001793733,0.000822917,0.9967878,0.00001813472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004255525,0.0000268856,0.00004883402,0.00003558213,0.00001196988,0.000005541073,0.9987721,0.0004017747,0.0006547642],"genre_scores_gemma":[0.0001635193,0.00003188847,0.0002160119,0.00004487412,0.000003452607,0.00004458797,0.9988571,0.0001622453,0.000476294],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.838105,"threshold_uncertainty_score":0.5415927,"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."}}