{"id":"W1603460472","doi":"10.1023/a:1011360923646","title":"Computers and Young Children in the Classroom: Strategies for Minimizing Gender Bias","year":2001,"lang":"en","type":"article","venue":"Early Childhood Education Journal","topic":"Media, Gender, and Advertising","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sociology of Education; Psychology; Sociology; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001043921,0.00009604583,0.0001040343,0.0001302899,0.0008420512,0.0006963301,0.0002264272,0.00005750667,0.00003656395],"category_scores_gemma":[0.0001650259,0.00007626574,0.00005487601,0.0002091596,0.00008539009,0.000549854,0.00001009765,0.0002469252,0.000002750189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000579033,"about_ca_system_score_gemma":0.001385405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002993308,"about_ca_topic_score_gemma":0.0001702112,"domain_scores_codex":[0.9987883,0.000238958,0.0002355803,0.0001468988,0.0002823006,0.0003079918],"domain_scores_gemma":[0.999422,0.0001323632,0.0001327933,0.00008376486,0.00006833337,0.0001607335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000006477751,0.000194727,0.2054911,0.000003427334,0.00003385331,0.000001976296,0.7173986,0.0000271353,0.00001075759,0.005154661,0.007739671,0.06393757],"study_design_scores_gemma":[0.0003206246,0.00002704883,0.8433968,0.00003352884,0.00001340885,0.0001278468,0.1440352,0.000006116663,0.00000115203,0.01005293,0.001883428,0.0001018543],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860288,0.0008471987,0.001807221,0.003774963,0.001175378,0.0002929098,0.000001101833,0.00001444649,0.006057968],"genre_scores_gemma":[0.9945567,0.000404421,0.001725556,0.001098988,0.002036599,0.000008350128,0.000004109836,0.00000929655,0.0001560407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6379057,"threshold_uncertainty_score":0.6714727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04573838820240626,"score_gpt":0.3146650873392021,"score_spread":0.2689266991367958,"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."}}