{"id":"W2563443921","doi":"10.2196/iproc.6103","title":"Sleep Phenotypes in Chronic Pain Sufferers: Application of Machine Learning to a Large Database","year":2016,"lang":"en","type":"article","venue":"Iproceedings","topic":"Vagus Nerve Stimulation Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chronic pain; Medicine; Neurostimulation; Cohort; Sleep (system call); Physical therapy; Population; Physical medicine and rehabilitation; Internal medicine; Stimulation; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004922625,0.0009437878,0.001112805,0.004627372,0.0007866477,0.001890348,0.0014473,0.001121001,0.0007142427],"category_scores_gemma":[0.01428973,0.0003474183,0.001073744,0.003550715,0.0004638802,0.001009585,0.001391142,0.000974326,0.0004653253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009930601,"about_ca_system_score_gemma":0.001093549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01412047,"about_ca_topic_score_gemma":0.01166414,"domain_scores_codex":[0.9966053,0.001111187,0.0005427935,0.000988231,0.0005593859,0.0001931063],"domain_scores_gemma":[0.9902126,0.005757037,0.0008248336,0.001672786,0.001124623,0.00040804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001768683,0.003016265,0.7208456,0.0004250023,0.00121975,0.001670451,0.0007685397,0.06230778,0.003800379,0.0009375225,0.008577238,0.1946627],"study_design_scores_gemma":[0.0001891577,0.0008198976,0.2657562,0.00007198827,0.0002207571,0.001145834,0.001081113,0.7227259,0.002073251,0.002529753,0.003312803,0.00007343745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616185,0.0007457465,0.02001308,0.0006758275,0.00008868294,0.0004900761,0.01483852,0.0007860707,0.0007434876],"genre_scores_gemma":[0.9313769,0.0003700462,0.04438018,0.000137378,0.00007909566,0.0003903717,0.02293237,0.0000334382,0.0003003575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01412047,"threshold_uncertainty_score":0.02807653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03151532755501184,"score_gpt":0.3175055653100524,"score_spread":0.2859902377550406,"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."}}