{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00214175,0.000404979,0.0009508705,0.000594024,0.005950234,0.002639281,0.001395277,0.04933692,0.0167195],"category_scores_gemma":[0.02485568,0.0006277254,0.001524446,0.0005303952,0.002042517,0.00268194,0.002868101,0.02844125,0.005205031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005509324,"about_ca_system_score_gemma":0.01152523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01583503,"about_ca_topic_score_gemma":0.0517646,"domain_scores_codex":[0.9977968,0.0005790876,0.0002309162,0.0001875055,0.0004947661,0.000710911],"domain_scores_gemma":[0.9880426,0.004020986,0.0007180176,0.0002312139,0.001158555,0.005828631],"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":[0.00009003506,0.0001543737,0.004383239,0.00007189045,0.00002227763,0.001635628,0.0001923672,0.0001056566,0.0002421719,0.001382324,0.9715506,0.02016935],"study_design_scores_gemma":[0.0007320521,0.0005454529,0.01650467,0.0007699378,0.0001144772,0.00423465,0.001305706,0.001300366,0.0004847062,0.01211034,0.9617723,0.0001254424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001013609,0.0004027129,0.00003833798,0.9905086,0.005362771,0.00001144311,0.00002437561,0.00002029102,0.002617921],"genre_scores_gemma":[0.006944639,0.0005913973,0.0001625911,0.9719458,0.01375254,0.00004105437,0.00002210111,0.00001378797,0.006526013],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04933692,"threshold_uncertainty_score":0.05593228,"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."}}