{"id":"W7114986467","doi":"10.17605/osf.io/nzpa9","title":"Trends in nicotine product use among youth in Canada from 2017 to 2024","year":2025,"lang":"","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nicotine; Tobacco product; Product (mathematics); Smoking epidemiology; Smoking cessation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007777816,0.0003473531,0.0004470967,0.003230743,0.002722479,0.001808152,0.001743823,0.0005053802,0.003879244],"category_scores_gemma":[0.002341668,0.0002680552,0.00103466,0.00643705,0.0005673998,0.0008036731,0.001230355,0.001309527,0.0006619106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04234922,"about_ca_system_score_gemma":0.06645545,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970847,"about_ca_topic_score_gemma":0.9984275,"domain_scores_codex":[0.9986522,0.00004359369,0.00008918106,0.0001164978,0.0006524449,0.0004462712],"domain_scores_gemma":[0.99573,0.00008514557,0.0005891607,0.00004853466,0.002640117,0.0009070638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001317223,0.00005893792,0.9652908,0.0001887993,0.00008840307,0.00008653618,0.001140867,0.0001673111,0.0001561682,0.0004449126,0.01225605,0.01998948],"study_design_scores_gemma":[0.00000861526,0.00003724688,0.9860811,0.0002023187,0.00006147775,0.00008688932,0.003221605,0.0003626768,0.0001597377,0.00006882615,0.009686684,0.00002279268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8290964,0.007348599,0.0004366008,0.004349908,0.0001441592,0.0002017527,0.1383187,0.000210463,0.01989337],"genre_scores_gemma":[0.9465138,0.006975913,0.0009406392,0.001121525,0.00004995193,0.0001286886,0.03521109,0.00004099673,0.009017273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04234922,"threshold_uncertainty_score":0.3072665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03974336021714701,"score_gpt":0.3220879817350501,"score_spread":0.2823446215179031,"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."}}