{"id":"W4213317798","doi":"10.1002/jcv2.12063","title":"A multi‐informant and multi‐polygenic approach to understanding predictors of peer victimisation in childhood and adolescence","year":2022,"lang":"en","type":"article","venue":"JCPP Advances","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec à Montréal; Université de Montréal; Université Laval","funders":"Economic and Social Research Council; Fonds de Recherche du Québec - Santé; Université Laval; Université de Montréal; Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Canadian Institutes of Health Research","keywords":"Victimisation; Polygenic risk score; Psychology; Developmental psychology; Clinical psychology; Medicine; Human factors and ergonomics; Poison control; Environmental health; Genetics; Single-nucleotide polymorphism; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00378968,0.0004566183,0.0004922994,0.00167319,0.001040082,0.001398036,0.0007263,0.0004568438,0.001387449],"category_scores_gemma":[0.00718958,0.0003591303,0.0007188236,0.001510476,0.0005182435,0.000895654,0.001250864,0.000684488,0.00009687603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235435,"about_ca_system_score_gemma":0.001606834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1271349,"about_ca_topic_score_gemma":0.1603008,"domain_scores_codex":[0.9975216,0.00174422,0.00009602442,0.0002835607,0.0001747075,0.0001799069],"domain_scores_gemma":[0.9951829,0.002358919,0.001091904,0.0005047342,0.0005616156,0.0002998733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002791344,0.0000446195,0.9892355,0.00004584647,0.0002109789,0.0001865796,0.002583892,0.0002796925,0.0002720077,0.0003571701,0.0001455068,0.006610348],"study_design_scores_gemma":[0.000001776189,0.00005374481,0.9943257,0.00006562633,0.0001035854,0.0001431745,0.002564047,0.001923783,0.0001145778,0.0003634564,0.0003299567,0.00001042604],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932433,0.0006620917,0.004418917,0.0003453258,0.00001026413,0.00006652629,0.0004422477,0.00001197686,0.0007993611],"genre_scores_gemma":[0.9954307,0.0002792888,0.003827179,0.00003619472,0.000005708091,0.00006136332,0.0001917689,0.000002163343,0.0001656004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1271349,"threshold_uncertainty_score":0.2527898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04602974666035942,"score_gpt":0.2981893896897045,"score_spread":0.2521596430293451,"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."}}