{"id":"W2768548744","doi":"10.1016/j.jadohealth.2017.09.024","title":"Revisiting the Link Between Depression Symptoms and High School Dropout: Timing of Exposure Matters","year":2017,"lang":"en","type":"article","venue":"Journal of Adolescent Health","topic":"Child and Adolescent Psychosocial and Emotional Development","field":"Psychology","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Dropout (neural networks); School dropout; Depression (economics); Psychology; Link (geometry); Clinical psychology; Sociology; Economics; Computer science; Socioeconomics","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":[],"consensus_categories":[],"category_scores_codex":[0.0009789395,0.0001380275,0.0003824204,0.00007505788,0.0005934869,0.00007121997,0.0003385071,0.00007384392,0.00007537293],"category_scores_gemma":[0.00005139735,0.00008936154,0.0001156764,0.00004048596,0.0000937165,0.0001226622,0.00007968198,0.0005051187,0.00001013909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006349792,"about_ca_system_score_gemma":0.0001188476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005613692,"about_ca_topic_score_gemma":0.000001308329,"domain_scores_codex":[0.9983333,0.0001534225,0.0007561029,0.0001608711,0.0003326602,0.0002636709],"domain_scores_gemma":[0.9978429,0.00005591012,0.001495242,0.0002627483,0.0001064056,0.0002367991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008643312,0.00003673981,0.6868916,0.0002603419,0.00007138446,0.000005389522,0.0007308199,0.000001711467,0.00004890052,0.000209953,0.005630979,0.3060257],"study_design_scores_gemma":[0.0009733873,0.00008463983,0.9876606,0.003672038,0.00002552143,0.0000364248,0.0002879773,0.000001823378,0.00001884698,0.0002171252,0.006933248,0.00008840094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8482929,0.003822754,0.0005153945,0.1444698,0.00220778,0.0002678502,0.0000144675,0.00001075171,0.0003983849],"genre_scores_gemma":[0.9913927,0.0006581491,0.0002146595,0.002210238,0.005383466,4.803396e-7,0.000002444881,0.00001394937,0.0001238946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3059373,"threshold_uncertainty_score":0.4564681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186140205641855,"score_gpt":0.3316651857854471,"score_spread":0.2998037837290286,"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."}}