{"id":"W2322924434","doi":"10.1177/1094428115621148","title":"Multiple-Group Analysis of Similarity in Latent Profile Solutions","year":2015,"lang":"en","type":"article","venue":"Organizational Research Methods","topic":"Behavioral Health and Interventions","field":"Psychology","cited_by":617,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Generalizability theory; Similarity (geometry); Psychology; Econometrics; Popularity; Latent class model; Psychological intervention; Social psychology; Statistics; Mathematics; Computer science; Developmental psychology; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.03778788,0.000909809,0.001449863,0.006386959,0.001858951,0.003015397,0.001635727,0.00115325,0.004753957],"category_scores_gemma":[0.1357993,0.00038523,0.00237078,0.004551711,0.002386016,0.003512573,0.004978189,0.002244594,0.0004377816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001355629,"about_ca_system_score_gemma":0.001346861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001600627,"about_ca_topic_score_gemma":0.001361476,"domain_scores_codex":[0.9693541,0.02209491,0.001552876,0.003276033,0.0030675,0.0006545364],"domain_scores_gemma":[0.9009702,0.06899536,0.007888526,0.01519101,0.006102346,0.0008526036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002090791,0.001735042,0.4837385,0.0009050961,0.003829228,0.0003707843,0.03699073,0.01168064,0.009501903,0.1026443,0.004398188,0.3421148],"study_design_scores_gemma":[0.0002563781,0.00242377,0.5059379,0.0003669188,0.0006491274,0.0006236721,0.02250779,0.2322729,0.005657639,0.2221625,0.006814517,0.0003269723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5341717,0.0002153769,0.4583901,0.000414181,0.00009663986,0.001798149,0.0008226021,0.000482136,0.003608956],"genre_scores_gemma":[0.9081635,0.0000476875,0.08887093,0.0000503738,0.00002210274,0.001751608,0.0007382749,0.00005789718,0.0002977031],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03778788,"threshold_uncertainty_score":0.1998438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5855302590746941,"score_gpt":0.6383649475205937,"score_spread":0.05283468844589956,"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."}}