{"id":"W4321099272","doi":"10.1111/sode.12672","title":"Evaluating the psychometrics of the SSIS SEL in a socio‐economically diverse sample","year":2023,"lang":"en","type":"article","venue":"Social Development","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Psychology; Psychological intervention; Scale (ratio); Construct (python library); Sample (material); Construct validity; Intervention (counseling); Applied psychology; Developmental psychology; Psychometrics; Convergent validity; Clinical psychology; Computer science","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":[0.004893194,0.0003253601,0.0004096766,0.00128535,0.001323656,0.0008415723,0.0006262733,0.00027595,0.001707965],"category_scores_gemma":[0.0101661,0.0001774248,0.0005774554,0.001334484,0.0008811707,0.0004019661,0.0009665858,0.000438604,0.0002782192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002344372,"about_ca_system_score_gemma":0.004759234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.21158,"about_ca_topic_score_gemma":0.3859766,"domain_scores_codex":[0.9980295,0.0003973,0.0001789778,0.000119894,0.0009899482,0.0002843089],"domain_scores_gemma":[0.9956181,0.0008378233,0.0006112387,0.0002246524,0.002167101,0.0005411555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009550332,0.0003138905,0.9856567,0.00002773895,0.000035516,0.00004656809,0.002972484,0.00008051786,0.0004333052,0.00009303724,0.0003479473,0.009896795],"study_design_scores_gemma":[0.00001328811,0.0001577051,0.9956158,0.00001301485,0.000009663039,0.0000145022,0.003436814,0.0002011843,0.0001234102,0.00003329489,0.0003779351,0.000003457579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998588,0.00001785937,0.00009453691,0.00004318279,0.000003416217,0.0001309602,0.0001177582,0.000003075547,0.001001104],"genre_scores_gemma":[0.9985098,0.00005418608,0.0003655886,0.00003419028,0.000002818945,0.0002343348,0.0003971382,0.000002717442,0.0003991249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.21158,"threshold_uncertainty_score":0.420697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1706157333808588,"score_gpt":0.4288002552876493,"score_spread":0.2581845219067905,"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."}}