{"id":"W2975504610","doi":"10.3399/bjgp19x705677","title":"Slumber at scale: a digital solution for a tiresome problem","year":2019,"lang":"en","type":"letter","venue":"British Journal of General Practice","topic":"Sleep and related disorders","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Computer science; Medicine; Data science; World Wide Web; Cartography; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0005907001,0.0003073419,0.0005657982,0.0001809509,0.0001865864,0.0003786722,0.0003976237,0.001350633,0.0006367468],"category_scores_gemma":[0.000420083,0.0003393402,0.0005562151,0.0001527003,0.0001010693,0.0009184932,0.00008288414,0.002743461,0.0005537474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002077356,"about_ca_system_score_gemma":0.0001619356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002640077,"about_ca_topic_score_gemma":0.00001645274,"domain_scores_codex":[0.997147,0.0003054652,0.0009056145,0.0004267436,0.0005756597,0.0006395685],"domain_scores_gemma":[0.9966314,0.0006666877,0.00171121,0.0002636778,0.0006295016,0.00009754228],"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":[0.0004611596,0.0002527256,0.00002938456,0.00006559095,0.001522982,0.002589097,0.0001398965,0.00001041231,0.00003602917,0.000006978881,0.9448867,0.04999901],"study_design_scores_gemma":[0.00322062,0.0004369378,0.00004667653,0.000266582,0.000958467,0.0492814,0.0000586216,0.00003071669,0.000001643285,0.0001431372,0.9451585,0.0003966489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005600595,0.03705642,0.00211675,0.7756452,0.01379669,0.002133148,0.0006266187,0.00008649762,0.1629381],"genre_scores_gemma":[0.000688386,0.002425798,0.008269924,0.6572108,0.02159304,0.00008949971,0.0007289037,0.000381095,0.3086126],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1456745,"threshold_uncertainty_score":0.9999458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447770160591395,"score_gpt":0.2871194145961283,"score_spread":0.2726417129902144,"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."}}