{"id":"W3085124386","doi":"10.18332/tpc/125942","title":"Chinese immigrant smokers’ access barriers to tobacco cessation services and experience using social media and text messaging","year":2020,"lang":"en","type":"article","venue":"Tobacco Prevention & Cessation","topic":"Smoking Behavior and Cessation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Institutes of Health; York University","keywords":"Smoking cessation; Immigration; Social media; Internet privacy; Tobacco use; Medicine; World Wide Web; Political science; Computer science; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003400503,0.0002767254,0.0003499215,0.0002124394,0.0004324591,0.0003010525,0.0001442029,0.0001696712,0.0002562019],"category_scores_gemma":[0.0001812402,0.0002699933,0.00007335634,0.0006617944,0.00007331151,0.001393031,0.0001396507,0.0001892305,0.000002310803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134088,"about_ca_system_score_gemma":0.00008489735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002980677,"about_ca_topic_score_gemma":0.0001100178,"domain_scores_codex":[0.997984,0.0001110757,0.000472311,0.0005804872,0.0005804567,0.000271699],"domain_scores_gemma":[0.9989381,0.00005093708,0.000272694,0.0001671767,0.0001730334,0.0003980359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001667448,0.0000357742,0.9349875,0.0001415772,0.0000321784,0.000004452855,0.03232737,0.00004826512,0.009274445,0.0000880591,0.00002472485,0.02286892],"study_design_scores_gemma":[0.001474576,0.00006574814,0.9863302,0.0001625273,0.0002069582,0.00001330237,0.00845171,0.0008414444,0.001806636,0.0002315681,0.0001195331,0.0002958119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951087,0.00009520956,0.001671759,0.002007968,0.000207197,0.0005931337,0.00001182882,0.0001401043,0.0001641624],"genre_scores_gemma":[0.9982557,0.00004588287,0.0002656984,0.0008594921,0.000316339,0.00005997748,0.0001444949,0.00003565523,0.00001681481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0513427,"threshold_uncertainty_score":0.9999752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04506538859987558,"score_gpt":0.3464711490042991,"score_spread":0.3014057604044235,"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."}}