{"id":"W1590354852","doi":"10.1080/08886504.2001.10782311","title":"Collateral Benefits of an Interactive Literacy Program for Grade 1 and 2 Students","year":2001,"lang":"en","type":"article","venue":"Journal of Research on Computing in Education","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies; University of Toronto","funders":"","keywords":"Computer science; Software; Collateral; Computer software; Mathematics education; Computer-Assisted Instruction; Computer literacy; Reading (process); Literacy; Multimedia; Medical education; Psychology; Pedagogy; Software engineering; Medicine; Operating system","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":[0.002628433,0.00004470021,0.0001058658,0.0006214503,0.0001742693,0.000117738,0.0002959838,0.00006278657,0.000002245258],"category_scores_gemma":[0.0004823723,0.00004262513,0.00002342879,0.0005198852,0.00009990695,0.000328071,0.00002907428,0.0002705187,2.897311e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823872,"about_ca_system_score_gemma":0.0004751316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000172514,"about_ca_topic_score_gemma":0.00007760653,"domain_scores_codex":[0.9987242,0.0002980352,0.0002587773,0.0001069216,0.0004190341,0.0001930541],"domain_scores_gemma":[0.9983419,0.0004263488,0.0001930955,0.00008236467,0.0008827197,0.00007354867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008811869,0.002751144,0.1377297,0.00002389172,0.0000169785,9.707427e-7,0.04891988,0.00007441375,0.00004150856,0.003655424,0.000244692,0.8064532],"study_design_scores_gemma":[0.0009969408,0.002487451,0.9036075,0.0006135912,0.000008847954,0.00003769445,0.06077819,0.0008138135,0.0005253121,0.02279881,0.007210549,0.0001212402],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964404,0.0001465521,0.00005284039,0.00206156,0.0005710414,0.0003992875,3.461731e-7,0.0000086932,0.0003193144],"genre_scores_gemma":[0.993592,0.000151292,0.005879981,0.00002011604,0.0002940998,0.0000114448,0.000001537555,0.000004023751,0.00004553614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.806332,"threshold_uncertainty_score":0.1738202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09736202774048697,"score_gpt":0.5638416459406599,"score_spread":0.4664796182001729,"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."}}