{"id":"W2160520196","doi":"10.1111/j.1365-2729.2009.00328.x","title":"Characteristics of students assigned to technology‐based instruction","year":2009,"lang":"en","type":"article","venue":"Journal of Computer Assisted Learning","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Toronto","funders":"Division of Mathematical Sciences","keywords":"Mathematics education; Dysfunctional family; Psychology; Class (philosophy); Educational technology; Test (biology); Academic achievement; Technology integration; Achievement test; Standardized test; Computer science","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":[0.000654967,0.00007222361,0.0002170628,0.000612792,0.0001909412,0.00004371107,0.0003637049,0.0001543935,0.00001813699],"category_scores_gemma":[0.0002350267,0.00007115142,0.00006860264,0.000630368,0.00006711444,0.0001068627,0.00002050711,0.0003773409,0.000003584549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001036505,"about_ca_system_score_gemma":0.0001641755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004898995,"about_ca_topic_score_gemma":0.000002057348,"domain_scores_codex":[0.9988263,0.0001321732,0.0004029828,0.00008932374,0.0003945389,0.0001546695],"domain_scores_gemma":[0.9988225,0.00004434801,0.00055529,0.00009113487,0.0004160224,0.00007078198],"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":[0.00004047338,0.0002917516,0.2333894,0.000006951746,0.00004610442,0.00000987709,0.003445789,0.000356041,0.002127629,0.0007735362,0.0001852337,0.7593272],"study_design_scores_gemma":[0.0005605245,0.0007821839,0.9880725,0.0001188992,0.00003979469,0.00002329442,0.001891701,0.0001203262,0.0007193589,0.0005263794,0.007037567,0.0001074524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511664,0.00001667465,0.04405343,0.003537987,0.0007376288,0.00007118591,1.893362e-7,0.00005030884,0.0003662006],"genre_scores_gemma":[0.9754636,0.000007142002,0.02413088,0.0001184198,0.0002415751,6.242863e-7,6.956062e-7,0.000004244693,0.00003281077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7592198,"threshold_uncertainty_score":0.2901471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170910367215921,"score_gpt":0.3322036578336368,"score_spread":0.3151126211120447,"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."}}