{"id":"W2061928116","doi":"10.5665/sleep.3908","title":"Boosting Access to Insomnia Treatment for Cancer Patients","year":2014,"lang":"en","type":"letter","venue":"SLEEP","topic":"Sleep and related disorders","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Boosting (machine learning); Insomnia; Medicine; Sleep (system call); Psychiatry; Artificial intelligence; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004613132,0.0003854238,0.0003952764,0.0002055426,0.0001273661,0.00006595882,0.0004240279,0.0009240002,0.001121163],"category_scores_gemma":[0.00002956269,0.000313487,0.0002079152,0.0001380809,0.00002787934,0.00004252694,0.00005644352,0.0004308913,0.0006912206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001969809,"about_ca_system_score_gemma":0.0000239064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009067032,"about_ca_topic_score_gemma":0.00009318587,"domain_scores_codex":[0.9981552,0.0000706521,0.0003149256,0.0006451143,0.000177067,0.0006370568],"domain_scores_gemma":[0.9990575,0.0001265987,0.0001875985,0.0004426818,0.00009765918,0.00008792095],"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":[0.00005600287,0.0001509812,0.004119268,0.00002821089,0.0006804534,0.00001198038,0.0006485202,0.00002282515,5.577523e-7,0.000008909079,0.9207733,0.07349896],"study_design_scores_gemma":[0.002619609,0.0003870723,0.0008378408,0.00005916048,0.0004176594,7.288942e-7,0.0000162637,0.00001221657,0.000007973848,0.00006591979,0.9951845,0.0003910902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03120827,0.002135039,0.0008033328,0.8522916,0.02613621,0.0068149,0.0007166352,0.0004195965,0.0794744],"genre_scores_gemma":[0.006837106,0.00004399503,0.00008214453,0.9703729,0.004921947,0.002808683,0.001127899,0.0002033712,0.01360196],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1180813,"threshold_uncertainty_score":0.9999317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04154877878707559,"score_gpt":0.3486112238883021,"score_spread":0.3070624451012265,"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."}}