{"id":"W3178307030","doi":"10.1080/10705511.2021.1937177","title":"Multilevel Dynamic Twin Modeling","year":2021,"lang":"en","type":"article","venue":"Structural Equation Modeling A Multidisciplinary Journal","topic":"Mental Health Research Topics","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Twin study; Computer science; Dizygotic twins; Multilevel model; Set (abstract data type); Population; Missing data; Interpretation (philosophy); Monozygotic twin; Genetic model; Econometrics; Mathematics; Machine learning; Heritability; Biology; Evolutionary biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009311997,0.0003204403,0.0003514972,0.0002710585,0.001169498,0.0001757021,0.0003718299,0.0002230737,0.001880895],"category_scores_gemma":[0.0002240609,0.0002968074,0.0002171758,0.0002838808,0.00005445019,0.0006185828,0.0002531828,0.001342589,0.0001761494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005144557,"about_ca_system_score_gemma":0.0004358723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008579507,"about_ca_topic_score_gemma":0.0000443364,"domain_scores_codex":[0.9960371,0.0005422826,0.001047982,0.0006115203,0.0008508728,0.0009101941],"domain_scores_gemma":[0.9980077,0.0001253208,0.0002283082,0.0004961379,0.0006519491,0.0004905684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002775133,0.00009087011,0.0009381649,0.00006590706,0.0001013011,0.0003892689,0.006971939,0.9317306,0.002247843,0.001712453,0.0000277966,0.0554464],"study_design_scores_gemma":[0.00159729,0.00008841309,0.0008209937,0.0001027833,0.00002257094,0.001014859,0.00442979,0.9695858,0.00003051281,0.02199093,0.00000725288,0.0003087793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6423629,0.0008524293,0.3535612,0.0008832546,0.001613381,0.0002031749,0.00001980571,0.00006289868,0.0004409984],"genre_scores_gemma":[0.965367,0.00007414775,0.03249053,0.00007613943,0.000488846,0.00002438789,0.0001011065,0.00005911088,0.001318717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3230041,"threshold_uncertainty_score":0.9999484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529738349086613,"score_gpt":0.4525661489536446,"score_spread":0.2995923140449833,"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."}}