{"id":"W6905868606","doi":"10.15468/dl.r7kgrw","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Terahertz technology and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Complement (music); Key (lock)","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":[0.000938509,0.002202403,0.001563716,0.004486678,0.001077382,0.002412703,0.003079167,0.002323932,0.1046152],"category_scores_gemma":[0.005180405,0.000840726,0.001310379,0.008381492,0.0004637442,0.002164049,0.002446493,0.002114238,0.1791242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169848,"about_ca_system_score_gemma":0.002251468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02484669,"about_ca_topic_score_gemma":0.04299622,"domain_scores_codex":[0.9989815,0.0001336308,0.0001252681,0.0003508521,0.0002493899,0.0001592814],"domain_scores_gemma":[0.9979278,0.0005244855,0.0001753814,0.0005914751,0.0005500006,0.0002309491],"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":[0.00003178851,0.00001496291,0.0003998665,0.0004593299,0.0000149759,0.00001676364,0.00002229328,0.0001625991,0.0001331125,0.0003765496,0.9968347,0.001533057],"study_design_scores_gemma":[0.00007999041,0.000009759344,0.001952967,0.0001805161,0.00001449483,0.00004319272,0.00007925719,0.0002661122,0.0002517962,0.0007968628,0.9963062,0.00001886747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006161458,0.0000364584,0.0000612566,0.00004556782,0.00001553855,0.000007039778,0.9985007,0.0005735331,0.00069825],"genre_scores_gemma":[0.0001571639,0.00003095036,0.0002194968,0.0000429854,0.000003213358,0.00003723043,0.9989871,0.000120014,0.0004018041],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8953848,"threshold_uncertainty_score":0.3499727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122024381502044,"score_gpt":0.203703276158693,"score_spread":0.1924830323436726,"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."}}