{"id":"W6906101335","doi":"10.15468/dl.su2dqp","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","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":[0.001043773,0.00201359,0.001668767,0.005249809,0.001025393,0.002663286,0.002880697,0.002103666,0.1679371],"category_scores_gemma":[0.006192696,0.0009405145,0.001176129,0.009840541,0.0004474992,0.002354795,0.002641505,0.002022876,0.2264396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544387,"about_ca_system_score_gemma":0.002354089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02003741,"about_ca_topic_score_gemma":0.03435055,"domain_scores_codex":[0.9989297,0.000148136,0.0001362357,0.0003758465,0.000232065,0.0001780397],"domain_scores_gemma":[0.9974074,0.0007592445,0.0002439341,0.0006701539,0.0006140093,0.0003052336],"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":[0.00003011631,0.00001146054,0.0003797042,0.0005688263,0.00001532061,0.0000154874,0.00002360534,0.0001161587,0.0001182226,0.0003666067,0.9970022,0.0013522],"study_design_scores_gemma":[0.00007671546,0.000008432309,0.001911299,0.000205978,0.00001551318,0.00003915945,0.00007196737,0.000139672,0.0001912109,0.0007986257,0.9965227,0.00001877976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003929477,0.00002625727,0.00004368424,0.00003197523,0.00001088043,0.00000511053,0.9988835,0.0003563557,0.0006028115],"genre_scores_gemma":[0.0001553694,0.00003151924,0.0001866512,0.00004394045,0.000003409675,0.00004238999,0.998934,0.0001474117,0.0004552925],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8320629,"threshold_uncertainty_score":0.5618056,"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."}}