{"id":"W3119914539","doi":"10.2196/20464","title":"Quantification of Smoking Characteristics Using Smartwatch Technology: Pilot Feasibility Study of New Technology","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smartwatch; Computer science; Wearable computer","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":[0.007298375,0.001059842,0.0007166096,0.0006452949,0.0006374348,0.0009121573,0.001292598,0.001308777,0.004875096],"category_scores_gemma":[0.006397128,0.0005994602,0.0009299469,0.0002689671,0.0009013995,0.001459965,0.001228279,0.0008470878,0.001451864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004061807,"about_ca_system_score_gemma":0.001458516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001660557,"about_ca_topic_score_gemma":0.002575184,"domain_scores_codex":[0.9965991,0.001682948,0.0002395299,0.0005474158,0.0005649619,0.0003660454],"domain_scores_gemma":[0.995464,0.001856203,0.0002518645,0.0004583721,0.001271184,0.0006984783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02593032,0.1945451,0.3735591,0.002759679,0.0004489055,0.002009391,0.01461319,0.001948218,0.1668641,0.0009052138,0.002616302,0.2138006],"study_design_scores_gemma":[0.005851258,0.5713905,0.3714276,0.0002366376,0.0005499105,0.0009695339,0.006882615,0.007891346,0.02787617,0.0005252206,0.006238738,0.0001605017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794425,0.00006309641,0.008762617,0.0001157661,0.0000499265,0.01001251,0.0003225163,0.0001142612,0.00111684],"genre_scores_gemma":[0.9411186,0.0001615827,0.0406302,0.0002932851,0.00006494574,0.01501528,0.0005329869,0.00003305542,0.002149956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007298375,"threshold_uncertainty_score":0.038598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2542288875050184,"score_gpt":0.4844975518211972,"score_spread":0.2302686643161788,"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."}}