{"id":"W1846233322","doi":"10.1111/sode.12029","title":"Adjusting for Group Size Effects in Peer Nomination Data","year":2013,"lang":"en","type":"article","venue":"Social Development","topic":"Bullying, Victimization, and Aggression","field":"Psychology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Concordia University; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Nomination; Standardization; Psychology; Peer group; Peer assessment; Regression analysis; Group (periodic table); Social psychology; Statistics; Developmental psychology; Mathematics education; Computer science; Mathematics; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05305775,0.0007284318,0.0007469071,0.002637784,0.001280505,0.001187204,0.001689296,0.0004714785,0.002010658],"category_scores_gemma":[0.2072131,0.0004705119,0.0009089668,0.004127489,0.001363392,0.001630463,0.001861913,0.001271797,0.0006087399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006368231,"about_ca_system_score_gemma":0.001313965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006254404,"about_ca_topic_score_gemma":0.007278165,"domain_scores_codex":[0.9072807,0.07549939,0.004801673,0.004229329,0.007305046,0.0008837799],"domain_scores_gemma":[0.7973248,0.1362831,0.01834829,0.03214239,0.0151393,0.000762104],"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":[0.0005201181,0.0002404994,0.7260033,0.000543127,0.001192516,0.0001460729,0.006268423,0.00452539,0.006464896,0.006531447,0.003755233,0.2438089],"study_design_scores_gemma":[0.00004833924,0.0008420147,0.9501362,0.0001834506,0.0002940269,0.0002736414,0.002581247,0.01857782,0.01110104,0.005406172,0.01045284,0.000103251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6098593,0.000577667,0.3761523,0.0005939333,0.0003663873,0.001534451,0.001852815,0.0009241705,0.008138889],"genre_scores_gemma":[0.9057496,0.0001462588,0.09032919,0.00008022093,0.00006281462,0.001177442,0.0009298153,0.0002199275,0.001304714],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05305775,"threshold_uncertainty_score":0.2805995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787441474262015,"score_gpt":0.3249413705298796,"score_spread":0.2870669557872595,"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."}}