{"id":"W2979738536","doi":"10.29173/iasl7391","title":"Optimum implementation of information technology in elementary education","year":2019,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Informatization; Everyday life; Information and Communications Technology; Psychology; Population; Information Age; Information technology; Cognition; Process (computing); Mathematics education; Computer science; Sociology; Political science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003259148,0.00008853183,0.0001252706,0.0004918576,0.00001950549,0.00005486264,0.0004346059,0.00005990788,0.00005884902],"category_scores_gemma":[0.00005205291,0.00008874285,0.00001871733,0.000613844,0.00002465058,0.002308944,0.0001153998,0.0001083778,0.00003557365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005844065,"about_ca_system_score_gemma":0.0005457504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001133074,"about_ca_topic_score_gemma":0.000005139239,"domain_scores_codex":[0.9991153,0.000008202343,0.0003360623,0.0001686668,0.000200428,0.0001713042],"domain_scores_gemma":[0.9989888,0.00002223225,0.000209286,0.0001097156,0.0006285055,0.00004147132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000008770801,0.0001106838,0.2238984,0.0001262954,0.000007836597,7.299261e-8,0.07222737,0.000001381208,0.002085684,0.292185,0.0006251053,0.4087233],"study_design_scores_gemma":[0.001543379,0.0007814268,0.2709893,0.0002881418,0.00001376783,0.00002119243,0.4978569,0.00229607,0.05168932,0.1615296,0.012381,0.0006099382],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881839,0.00002283953,0.006934254,0.003393979,0.0003309921,0.0003763453,0.000004943281,0.00004052896,0.0007122477],"genre_scores_gemma":[0.858689,0.000016907,0.1409124,0.0002449552,0.00001875392,0.00006632978,0.00001171921,0.000002447934,0.00003747427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4256295,"threshold_uncertainty_score":0.3618829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221217659336758,"score_gpt":0.3174275352182703,"score_spread":0.3052153586249027,"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."}}