{"id":"W6943320845","doi":"10.15468/dl.krtncg","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); Real world data","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":[0.00111116,0.00195982,0.001597074,0.00529056,0.001032518,0.002633441,0.002812887,0.002047524,0.1574126],"category_scores_gemma":[0.006665262,0.0009524426,0.001123929,0.01028016,0.0004658436,0.002299902,0.002625282,0.002050346,0.2127996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166076,"about_ca_system_score_gemma":0.002489698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02229156,"about_ca_topic_score_gemma":0.03640236,"domain_scores_codex":[0.9988588,0.0001495499,0.0001506334,0.0003931644,0.0002653329,0.0001825244],"domain_scores_gemma":[0.9973326,0.0007779921,0.0002605135,0.0006825716,0.0006406959,0.0003056739],"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":[0.0000272833,0.00001054889,0.0003637343,0.000505316,0.00001422042,0.00001463575,0.00002404716,0.0001193983,0.0001124248,0.0003871182,0.9970896,0.001331757],"study_design_scores_gemma":[0.00006803091,0.000007338913,0.001805644,0.0001910337,0.00001396166,0.00003676007,0.00007193442,0.0001388001,0.000183019,0.0007300893,0.9967365,0.00001708799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003860666,0.00002479357,0.00004404724,0.00003475039,0.00001144938,0.000004745887,0.9988886,0.0003417089,0.0006112546],"genre_scores_gemma":[0.0001548326,0.00003126845,0.0001913181,0.00004211314,0.000003200753,0.00004003157,0.9989506,0.0001504772,0.0004360324],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8425874,"threshold_uncertainty_score":0.5265976,"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."}}