{"id":"W4241921083","doi":"10.1515/iupac.88.0994","title":"Lod Score","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001804479,0.002606355,0.002677392,0.008725528,0.001616032,0.005617612,0.003315859,0.002181888,0.177324],"category_scores_gemma":[0.0165973,0.0008080144,0.002182929,0.01059075,0.0004990948,0.00264384,0.002888922,0.002436502,0.1586073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581197,"about_ca_system_score_gemma":0.002481142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01541531,"about_ca_topic_score_gemma":0.0273964,"domain_scores_codex":[0.997385,0.0003321364,0.0003503486,0.001113522,0.0005481433,0.0002709007],"domain_scores_gemma":[0.9951705,0.001687733,0.000502835,0.001076096,0.00128656,0.0002762004],"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":[0.000145394,0.00002985834,0.006162002,0.001322005,0.0001515545,0.00006412168,0.00004663173,0.0003073321,0.0003003293,0.00150422,0.9805218,0.009444782],"study_design_scores_gemma":[0.0002936634,0.00003201159,0.01700722,0.0004935403,0.0001643066,0.0003079381,0.0001405136,0.0004044877,0.0004946758,0.006044705,0.9745409,0.00007590318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003570132,0.0001542615,0.0002684838,0.0001053752,0.00005020979,0.00001546542,0.9960008,0.0006730571,0.002375263],"genre_scores_gemma":[0.001200159,0.0001504926,0.0009304099,0.00009635944,0.00001900023,0.00008751498,0.9955847,0.0003015257,0.001629953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.177324,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03256236479947607,"score_gpt":0.4646228436328566,"score_spread":0.4320604788333806,"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."}}