{"id":"W4294243664","doi":"10.23889/ijpds.v7i3.1813","title":"Creating and Evaluating Two Cumulative Developmental Vulnerability Risk Measures.","year":2022,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Child and Adolescent Psychosocial and Emotional Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Vulnerability (computing); Predictive power; Neighbourhood (mathematics); Population; Statistics; Demography; Psychology; Medicine; Computer science; Mathematics; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.02431793,0.001420662,0.000719452,0.007175706,0.0009859119,0.003183381,0.00135581,0.0007041258,0.001577647],"category_scores_gemma":[0.07322679,0.0005196457,0.002199907,0.004272066,0.0009479206,0.001998544,0.003839291,0.001181275,0.0003178316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005794549,"about_ca_system_score_gemma":0.00710641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05902895,"about_ca_topic_score_gemma":0.1004065,"domain_scores_codex":[0.9852947,0.004951344,0.001578921,0.001592741,0.006008711,0.0005734864],"domain_scores_gemma":[0.9407277,0.02567825,0.01205347,0.00345741,0.01681568,0.001267427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002637449,0.0002462895,0.7851456,0.0003862768,0.0008700964,0.00006243032,0.001735835,0.00639906,0.0005193523,0.004011749,0.003146993,0.1972125],"study_design_scores_gemma":[0.0001394818,0.0009863492,0.9234442,0.0006227472,0.0008010875,0.000194457,0.00307882,0.04410329,0.00363208,0.005868972,0.01689585,0.000232745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8455799,0.002274971,0.1205277,0.0009064884,0.0002469663,0.0034476,0.01037296,0.0006714815,0.01597187],"genre_scores_gemma":[0.8138109,0.0006008414,0.1746785,0.0001071285,0.00003315671,0.002694727,0.00607291,0.00006902613,0.001932761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05902895,"threshold_uncertainty_score":0.1286071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1548851089755792,"score_gpt":0.4610538977507085,"score_spread":0.3061687887751294,"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."}}