{"id":"W2612824657","doi":"","title":"Jennifer Sclater, was an ICT Consultant at the Centre for the Study of Learning and Performance, Concordia University, Montreal, Quebec, and is currently Coordinator, Education (youth programs) with the World Anti-Doping Agency, Montreal, Quebec.","year":2006,"lang":"en","type":"article","venue":"","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laptop; Reading (process); Medical education; Mathematics education; Psychology; Control (management); On board; Significant difference; Test (biology); Pedagogy; Medicine; Engineering; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003811202,0.0001457921,0.0001541316,0.00007903599,0.001783029,0.0001241309,0.0002369272,0.00005978654,0.00002637815],"category_scores_gemma":[0.00001391143,0.00007767255,0.00002644644,0.0004140449,0.0006973771,0.0002270096,0.00007430593,0.0001478839,6.941174e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009197807,"about_ca_system_score_gemma":0.0002843178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4008676,"about_ca_topic_score_gemma":0.9006661,"domain_scores_codex":[0.9989294,0.0001846938,0.0001539045,0.0002729661,0.0001938884,0.0002651389],"domain_scores_gemma":[0.9991871,0.0001822029,0.000171042,0.0002016964,0.0002106934,0.00004722421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005854399,0.0004458553,0.8426327,0.00002062878,0.00007665288,3.454082e-7,0.08130313,0.00001543523,0.000009881755,0.001947784,0.00293356,0.07055552],"study_design_scores_gemma":[0.000740179,0.0001623939,0.4500564,0.0000279492,0.0002288011,0.000001345306,0.5325724,0.0002711902,0.00003861518,0.00008274844,0.01566864,0.0001493245],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896992,0.000487176,0.0000137463,0.004998385,0.0001258596,0.001502666,0.000005037047,0.00005621574,0.00311173],"genre_scores_gemma":[0.9789292,0.0002449504,0.00001394372,0.00003034502,0.00004739255,0.00001931779,0.00001690384,0.000009141373,0.02068876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4997986,"threshold_uncertainty_score":0.9995165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154864737422631,"score_gpt":0.2654167571256448,"score_spread":0.2499302833833817,"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."}}