{"id":"W2945471891","doi":"10.1177/0165025419845530","title":"Pages from a sociometric notebook: Reconsidering the effects of selective missingness","year":2019,"lang":"en","type":"article","venue":"International Journal of Behavioral Development","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Missing data; Percentile; Context (archaeology); Popularity; Sociometry; Aggression; Peer group; Developmental psychology; Percentile rank; Demography; Statistics; Social psychology; Geography; Sociology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04609922,0.0006292915,0.0008461831,0.005156425,0.001874478,0.0019474,0.002067396,0.001096371,0.009297948],"category_scores_gemma":[0.2891005,0.0006810072,0.0004818596,0.004679932,0.002930182,0.002468724,0.002526434,0.002024689,0.002299374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009987353,"about_ca_system_score_gemma":0.001605948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005651123,"about_ca_topic_score_gemma":0.0128065,"domain_scores_codex":[0.9582129,0.02393254,0.003035253,0.001387398,0.01319585,0.0002360101],"domain_scores_gemma":[0.5506439,0.3618898,0.02030393,0.03634517,0.0284677,0.002349586],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001050331,0.0003577837,0.2399217,0.000943549,0.0002375408,0.001006421,0.01233396,0.00289256,0.003137952,0.02247503,0.308327,0.4073162],"study_design_scores_gemma":[0.0001900423,0.0009493929,0.6441131,0.0009769112,0.0002072896,0.002982239,0.005377318,0.01782652,0.005625653,0.03328029,0.2881438,0.0003273771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5385305,0.003167574,0.2770328,0.03700178,0.009468247,0.004531629,0.03383679,0.00793747,0.0884933],"genre_scores_gemma":[0.7045262,0.001406407,0.24854,0.005765973,0.002872617,0.00504219,0.009512204,0.002476563,0.01985791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9539008,"threshold_uncertainty_score":0.2437989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05153396009603828,"score_gpt":0.3348860174149073,"score_spread":0.283352057318869,"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."}}