{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006538546,0.0007556601,0.002126012,0.001919844,0.001205799,0.002157116,0.003846789,0.001441878,0.01296068],"category_scores_gemma":[0.02374374,0.000844568,0.002687653,0.003663762,0.0007206478,0.001967379,0.003166877,0.00292542,0.001377096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651932,"about_ca_system_score_gemma":0.001826003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02147857,"about_ca_topic_score_gemma":0.02031187,"domain_scores_codex":[0.9947461,0.003393026,0.0002507497,0.0008098924,0.0005213195,0.0002789304],"domain_scores_gemma":[0.9939353,0.003526463,0.0005957676,0.0008983305,0.0008132544,0.0002309342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002267955,0.0001374568,0.02738807,0.000283229,0.001053166,0.0005390529,0.001373624,0.1954243,0.0006362293,0.6686007,0.01076519,0.09357221],"study_design_scores_gemma":[0.00008479234,0.00006466767,0.004459742,0.0001150349,0.0002622672,0.0002819807,0.0001981922,0.7229961,0.0001925393,0.2598627,0.01143324,0.00004871583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0314442,0.0005420543,0.9587257,0.001169116,0.0001204841,0.0002327938,0.002355642,0.0002995704,0.005110602],"genre_scores_gemma":[0.4907876,0.001350657,0.4899317,0.0004181604,0.0001817446,0.00158282,0.005076258,0.0002941141,0.01037682],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02147857,"threshold_uncertainty_score":0.04335779,"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."}}