{"id":"W2566996737","doi":"","title":"Adolescent Maturation: Identification, Estimation, and Implications","year":2015,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Adolescent Sexual and Reproductive Health","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Queen's University","keywords":"Identification (biology); Estimation; Computer science; Psychology; Biology; Engineering; Systems engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01341245,0.0006126965,0.0009811517,0.001317068,0.0004852079,0.001696106,0.001427706,0.001195075,0.00321229],"category_scores_gemma":[0.05734351,0.000806856,0.001119508,0.00166302,0.0009831683,0.001889384,0.002353523,0.002861029,0.0004004433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032238,"about_ca_system_score_gemma":0.00179179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01428293,"about_ca_topic_score_gemma":0.00782015,"domain_scores_codex":[0.9959832,0.002927839,0.0001175412,0.0005444494,0.0001887587,0.0002382036],"domain_scores_gemma":[0.9508555,0.04209773,0.00385878,0.00174337,0.0009331375,0.000511513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001822236,0.0002608259,0.7584788,0.0001975123,0.0004219795,0.0003966898,0.0010465,0.07105888,0.0002658691,0.05248943,0.004259268,0.1109419],"study_design_scores_gemma":[0.00005461623,0.0002206218,0.151014,0.0002327362,0.0002395385,0.0002014909,0.001804155,0.7620243,0.0007831288,0.07878982,0.004575884,0.00005966884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6992341,0.004509415,0.2810044,0.006437487,0.0001195813,0.0004064836,0.001110172,0.0002780041,0.006900352],"genre_scores_gemma":[0.9544979,0.001651076,0.04032693,0.0002522405,0.0001140562,0.0002207855,0.000843875,0.000034583,0.00205854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01428293,"threshold_uncertainty_score":0.07093263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0695752264462172,"score_gpt":0.4122016057745582,"score_spread":0.3426263793283409,"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."}}