{"id":"W3164279719","doi":"10.31234/osf.io/x52af","title":"Multilevel Dynamic Twin Modeling Preprint","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Mental Health Research Topics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Twin study; Dizygotic twins; Computer science; Genetic model; Population; Missing data; Interpretation (philosophy); Multilevel model; Econometrics; Mathematics; Machine learning; Evolutionary biology; Biology; Heritability; Genetics","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":[0.006478953,0.0007168486,0.00141009,0.001104646,0.0007960313,0.001976846,0.002206253,0.001198934,0.01981496],"category_scores_gemma":[0.02227724,0.0007881146,0.001941173,0.002340993,0.0008001419,0.001762148,0.002361849,0.00254872,0.001695958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530201,"about_ca_system_score_gemma":0.001480187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01147315,"about_ca_topic_score_gemma":0.009955242,"domain_scores_codex":[0.9958768,0.002964671,0.0001410443,0.0004728363,0.0004032085,0.0001415186],"domain_scores_gemma":[0.9936527,0.004035823,0.0005499113,0.001015052,0.0005522477,0.0001943317],"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":[0.00006779133,0.0000510285,0.00922138,0.0001764383,0.0005984889,0.0002093336,0.0005415027,0.04110121,0.0001811165,0.8667123,0.01678701,0.06435239],"study_design_scores_gemma":[0.00005056416,0.0000344617,0.003190289,0.0001309864,0.0001641478,0.0001738291,0.0001210454,0.2685243,0.000148125,0.7023126,0.02512469,0.00002496006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01768238,0.001427589,0.9621913,0.003620509,0.0003152924,0.0001531077,0.003413677,0.0004595228,0.01073658],"genre_scores_gemma":[0.4367974,0.002625504,0.5296791,0.0006953896,0.0004897948,0.001054604,0.006489101,0.000556791,0.0216124],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01981496,"threshold_uncertainty_score":0.0662877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2768924843169162,"score_gpt":0.5106924409317637,"score_spread":0.2337999566148475,"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."}}