{"id":"W2894128629","doi":"10.1017/jsc.2018.33","title":"Using ‘Smart’ Technology to Aid in Cigarette Smoking Cessation: Examining an Innovative Way to Monitor and Improve Quit Attempt Outcomes","year":2018,"lang":"en","type":"article","venue":"The Journal of Smoking Cessation","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Session (web analytics); Smoking cessation; Smartphone app; Smartwatch; Smartphone application; Medicine; Cigarette smoking; Computer science; Multimedia; Internet privacy; Wearable computer; World Wide Web; Embedded system; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.002537781,0.0002189552,0.0004057904,0.001163326,0.0002494756,0.00007524175,0.0002087797,0.0002006242,0.00002153364],"category_scores_gemma":[0.0004675721,0.0001662636,0.00003023015,0.001497288,0.0001133112,0.0006644868,0.00009512325,0.0005182112,4.93294e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004372547,"about_ca_system_score_gemma":0.00007223725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001262611,"about_ca_topic_score_gemma":0.00002470751,"domain_scores_codex":[0.9978828,0.0001480448,0.000760827,0.000223772,0.0006508512,0.0003337244],"domain_scores_gemma":[0.9980285,0.0001376969,0.0006052185,0.0002989286,0.0008014053,0.000128302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001493459,0.00005540354,0.9375126,0.00001792482,0.00006319467,0.000008147344,0.01041855,0.00006297571,0.02678024,0.00005292103,0.00001723115,0.0248614],"study_design_scores_gemma":[0.001367248,0.0008826849,0.9512175,0.0005186605,0.0002120937,0.0001428541,0.005883054,0.0001094723,0.03926729,0.0001503415,0.00005934731,0.0001894287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936246,0.00002679821,0.003269596,0.001777894,0.0008474481,0.0003357867,0.000002841952,0.0000351177,0.00007987458],"genre_scores_gemma":[0.9979044,0.000005623919,0.0008021927,0.0005695107,0.0006535377,0.000008231222,0.000004078212,0.00003577312,0.00001668785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02467197,"threshold_uncertainty_score":0.6780034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06188654875848563,"score_gpt":0.362899738539381,"score_spread":0.3010131897808953,"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."}}