{"id":"W4389431403","doi":"10.29173/irie492","title":"Education Technology in Schools","year":2022,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Globalization; Mathematics education; Pedagogy; Work (physics); Technology education; Higher education; High tech; Sociology; Engineering; Engineering ethics; Political science; Psychology; Mechanical engineering","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":[0.004114579,0.0003145219,0.000471575,0.002011457,0.003710195,0.01219948,0.0004437829,0.003979343,0.007162264],"category_scores_gemma":[0.007278059,0.000228339,0.0002470677,0.002579417,0.01371916,0.00776967,0.004752064,0.003399325,0.001480987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006557542,"about_ca_system_score_gemma":0.009327515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004141602,"about_ca_topic_score_gemma":0.003324277,"domain_scores_codex":[0.9921545,0.004648148,0.0003804419,0.0005991959,0.001513382,0.0007042184],"domain_scores_gemma":[0.9951282,0.002689617,0.0006142654,0.0003713309,0.0006391944,0.0005574233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008990458,0.00003636718,0.001654581,0.0003709725,0.000006197429,0.0001430352,0.01381851,0.0001422148,0.00008708505,0.8925998,0.01537552,0.07575674],"study_design_scores_gemma":[0.000006014567,0.00003384887,0.003558655,0.002489149,0.000008231709,0.0002859251,0.01400135,0.00006745256,0.0001618095,0.1530452,0.8263303,0.00001204865],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02460742,0.3224623,0.006383383,0.1143067,0.002882928,0.00008473475,0.0001049108,0.00009387246,0.5290737],"genre_scores_gemma":[0.7794823,0.1414393,0.002272012,0.01637433,0.001218374,0.00009921716,0.00007394163,0.00006075513,0.05897975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01219948,"threshold_uncertainty_score":0.04757851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03399191469456882,"score_gpt":0.4043160903819941,"score_spread":0.3703241756874253,"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."}}