{"id":"W6889043278","doi":"10.25384/sage.21524952","title":"sj-docx-1-sat-10.1177_11782218221126977 – Supplemental material for Characterizing Clinical Heterogeneity in a Large Inpatient Addiction Treatment Sample: Confirmatory Latent Profile Analysis and Differential Levels of Craving and Impulsivity","year":2022,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Guelph","funders":"","keywords":"Impulsivity; Craving; Confirmatory factor analysis; Addiction; Differential treatment; Gambling disorder; Addictive behavior; Latent class model; Addiction treatment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002289589,0.001334106,0.001195046,0.00422349,0.001823825,0.002934724,0.002506647,0.001594784,0.9130414],"category_scores_gemma":[0.03830836,0.001553713,0.001201176,0.005092964,0.0005219526,0.002625726,0.002138737,0.002393541,0.5104833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527161,"about_ca_system_score_gemma":0.003183119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0147555,"about_ca_topic_score_gemma":0.0314922,"domain_scores_codex":[0.9987108,0.0001859499,0.0002596433,0.0002065821,0.0004434578,0.0001935213],"domain_scores_gemma":[0.9632604,0.02069691,0.001639729,0.002529493,0.01019082,0.001682649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00008852235,0.0001106924,0.001029578,0.000443187,0.00001254201,0.00002085603,0.0000497651,0.00005705281,0.0001384661,0.0002924124,0.9919407,0.005816161],"study_design_scores_gemma":[0.003120899,0.0003125386,0.06026613,0.002219069,0.0001213438,0.0003882831,0.001675914,0.001508696,0.002320543,0.009490944,0.9183146,0.0002611438],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006066909,0.00002376516,0.000683031,0.0003455764,0.0001516932,0.0003198011,0.9904078,0.00147109,0.005990569],"genre_scores_gemma":[0.007196278,0.0001402894,0.00696618,0.001187691,0.0003139999,0.003034106,0.9388117,0.00361263,0.0387372],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9130414,"threshold_uncertainty_score":0.1240359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0904819020539038,"score_gpt":0.3742819535491672,"score_spread":0.2838000514952634,"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."}}