{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003446345,0.00003954226,0.00007170608,0.0002948654,0.0002812414,0.00001333903,0.0007201611,0.00006392639,0.0004560876],"category_scores_gemma":[0.003391687,0.00003477121,0.00003032622,0.0006742117,0.0001141717,0.0003305938,0.0001065172,0.0007089405,0.00003810355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002705079,"about_ca_system_score_gemma":0.001429647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003310264,"about_ca_topic_score_gemma":0.00005421323,"domain_scores_codex":[0.9987935,0.0001568907,0.0003597622,0.00004623443,0.0005626778,0.00008094834],"domain_scores_gemma":[0.9990485,0.0001340497,0.0002684116,0.0001541534,0.0003830314,0.00001189421],"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":[0.000002089779,0.00004058924,0.001381072,0.0001302254,0.000006047112,3.226472e-8,0.006248872,0.00002254977,0.00000539279,0.9427266,0.0067455,0.04269109],"study_design_scores_gemma":[0.00006803344,0.00001232263,0.0009677008,0.0003868207,0.000005813239,0.000005366095,0.04243147,0.00002000589,0.00004646244,0.1192287,0.8367717,0.0000556503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0140883,0.006360687,0.0003849839,0.8474053,0.002255618,0.0007604646,0.00001451812,0.00007726787,0.1286529],"genre_scores_gemma":[0.9731197,0.01552228,0.0004082111,0.01032815,0.00003854704,0.000258813,0.00004891717,0.000002279593,0.0002730655],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9590315,"threshold_uncertainty_score":0.499384,"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."}}