{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009884293,0.0001042586,0.0003782321,0.0008464527,0.000127346,0.00001295654,0.000157741,0.0001753747,0.00005776689],"category_scores_gemma":[0.0004673814,0.00009682213,0.00003920316,0.002475508,0.0002606848,0.0001288255,0.0001739153,0.000621191,0.000001994955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219157,"about_ca_system_score_gemma":0.000408826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009320684,"about_ca_topic_score_gemma":0.0000128397,"domain_scores_codex":[0.9980454,0.0001446854,0.0005541383,0.0002561962,0.0007283345,0.0002712491],"domain_scores_gemma":[0.9973705,0.00007195342,0.0002342831,0.0006462114,0.001621552,0.00005551308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001661233,0.002450171,0.888971,0.0002015179,0.00005015671,0.00001026483,0.00358426,8.591569e-7,0.09166977,0.0004062565,0.00003593475,0.01245368],"study_design_scores_gemma":[0.001462286,0.001817054,0.822817,0.0002221302,0.00005065126,0.0000276411,0.01930173,0.00009571396,0.1534843,0.0006111651,0.00003632881,0.0000740105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976934,0.00003305063,0.0008486498,0.0003689404,0.00007776837,0.0008294941,0.00001034544,0.00004883889,0.00008948513],"genre_scores_gemma":[0.9995593,0.0000125096,0.0002622056,0.00000265125,0.00002313235,0.00003796928,0.00002926396,0.0000139901,0.0000589132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06615402,"threshold_uncertainty_score":0.3948292,"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."}}