{"id":"W6889073132","doi":"10.25384/sage.c.5291538","title":"Multilevel Latent Class Profile Analysis: An Application to Stage-Sequential Patterns of Alcohol Use in a Sample of Canadian Youth","year":2021,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latent class model; Multilevel model; Longitudinal data; Longitudinal study; Sample (material); Class (philosophy); Scale (ratio); Mixture model","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":[0.008643438,0.0007360265,0.001094455,0.004453818,0.004288572,0.001505126,0.002384474,0.0007489077,0.00278481],"category_scores_gemma":[0.02727609,0.0004786899,0.002726482,0.007005706,0.0009322286,0.000782328,0.002376832,0.001743254,0.0002366752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01052256,"about_ca_system_score_gemma":0.01919235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.859247,"about_ca_topic_score_gemma":0.863323,"domain_scores_codex":[0.9958459,0.001950209,0.0002100908,0.000629915,0.0008467223,0.0005171935],"domain_scores_gemma":[0.99394,0.002037274,0.0007137976,0.0008819993,0.001920094,0.0005068554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005171912,0.0003307954,0.7565374,0.0002491945,0.0009320658,0.000256873,0.00961562,0.01045697,0.000890055,0.0136955,0.007476,0.1990422],"study_design_scores_gemma":[0.0001340799,0.0001950737,0.7149611,0.0001644685,0.000320607,0.0001669057,0.007669447,0.252221,0.0005760479,0.0149236,0.00850442,0.0001631964],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7796637,0.00071523,0.2018284,0.001588977,0.0001225603,0.003417738,0.008687774,0.0008844554,0.00309124],"genre_scores_gemma":[0.8547735,0.0003394516,0.1381343,0.00008257014,0.00002660032,0.001757488,0.003730149,0.00006242751,0.001093537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.140753,"threshold_uncertainty_score":0.2831637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1881875354976725,"score_gpt":0.3629932354281015,"score_spread":0.174805699930429,"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."}}