{"id":"W4414656995","doi":"10.2196/70753","title":"Analyzing Sleep Behavior Using BERT-BiLSTM and Fine-Tuned GPT-2 Sentiment Classification: Comparison Study","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Sleep and related disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sleep (system call); Actigraphy; MEDLINE; Sleep apnea; Polysomnography","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":[0.001770493,0.001173211,0.0006264795,0.0009374879,0.0002784228,0.0006534453,0.0005426449,0.0009244379,0.001479903],"category_scores_gemma":[0.003757848,0.0001987591,0.0007760004,0.0003838573,0.0002507872,0.0007078144,0.0005843218,0.0007235228,0.0008646086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00055944,"about_ca_system_score_gemma":0.0004653288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004240198,"about_ca_topic_score_gemma":0.004228239,"domain_scores_codex":[0.9994105,0.0001952869,0.00006441297,0.0001509282,0.0001032655,0.00007553404],"domain_scores_gemma":[0.9987774,0.000584357,0.00007592082,0.00009324822,0.0003696211,0.000099454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007724659,0.002260034,0.1503494,0.001111799,0.00120235,0.0009876298,0.0009870693,0.07281498,0.05369957,0.0007126048,0.01711213,0.6910378],"study_design_scores_gemma":[0.0001774977,0.001716834,0.07323159,0.00006319606,0.0002674177,0.0004040051,0.0004801123,0.9117478,0.008707066,0.0006460233,0.002499324,0.00005922131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9702555,0.001235008,0.02303462,0.0002914098,0.0003350008,0.0002098271,0.001163251,0.00107462,0.002400843],"genre_scores_gemma":[0.9780764,0.000240624,0.01685333,0.0001088954,0.0001166761,0.0001118941,0.003222904,0.00006907967,0.001200174],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004240198,"threshold_uncertainty_score":0.009363413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700278123767624,"score_gpt":0.3895748700159214,"score_spread":0.3525720887782451,"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."}}