{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001533428,0.0002206154,0.0003855878,0.001274796,0.000822277,0.004186196,0.0006918483,0.0009736727,0.009720586],"category_scores_gemma":[0.005575643,0.0002971315,0.0002911648,0.001418846,0.0005006808,0.002003764,0.00231604,0.0007877166,0.003931719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002208988,"about_ca_system_score_gemma":0.004215738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00192018,"about_ca_topic_score_gemma":0.002781528,"domain_scores_codex":[0.9963651,0.001060183,0.0002689929,0.0004084753,0.000897715,0.0009995222],"domain_scores_gemma":[0.9972078,0.0003696856,0.0004040525,0.0002138301,0.0006878508,0.001116763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005175879,0.002565013,0.166821,0.000893274,0.00004469406,0.0007208112,0.008284804,0.002480475,0.01426661,0.07049539,0.007198011,0.7257124],"study_design_scores_gemma":[0.0000856317,0.001842505,0.8480504,0.001059343,0.0000650629,0.0005321074,0.008486,0.00227803,0.006241111,0.01925137,0.1120629,0.0000455092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7281157,0.003603403,0.009818165,0.004524328,0.0001371967,0.0004528656,0.0004633177,0.0004587377,0.2524262],"genre_scores_gemma":[0.9721138,0.0008911998,0.007761202,0.0001486855,0.00003664901,0.0001802304,0.0001374891,0.00003573567,0.01869502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009720586,"threshold_uncertainty_score":0.03251863,"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."}}