{"id":"W6943849465","doi":"10.15468/dl.nstq5h","title":"Occurrence Download","year":2020,"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); R package","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":[0.001077894,0.00197707,0.001633542,0.005900806,0.0009127707,0.002458556,0.002890708,0.00195471,0.1726597],"category_scores_gemma":[0.005906598,0.0009468645,0.001176268,0.01088138,0.0004621271,0.002302424,0.002722451,0.001994451,0.2354434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495871,"about_ca_system_score_gemma":0.002344385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01716125,"about_ca_topic_score_gemma":0.02916736,"domain_scores_codex":[0.9988866,0.0001420664,0.0001501547,0.0003700943,0.0002630137,0.0001879857],"domain_scores_gemma":[0.9973344,0.0006774128,0.0002658723,0.0007183306,0.000673009,0.000331041],"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":[0.0000338552,0.00001211414,0.0003758445,0.0006519441,0.00001710999,0.00001563765,0.00002384149,0.0001258886,0.0001611518,0.0003988841,0.9965071,0.00167653],"study_design_scores_gemma":[0.00006578449,0.00000789007,0.001825072,0.0001879929,0.00001430801,0.00003639296,0.00006091176,0.0001100555,0.0002064025,0.000654633,0.9968132,0.00001722765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003543279,0.00002465588,0.00003648005,0.00002782587,0.0000103339,0.000004869433,0.9989758,0.0003027917,0.0005819268],"genre_scores_gemma":[0.0001355615,0.00003196836,0.0001754722,0.00003981392,0.000003149157,0.00003605766,0.9990271,0.0001232099,0.0004276544],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8273404,"threshold_uncertainty_score":0.5776041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}