{"id":"W3173586641","doi":"10.24908/ss.v19i2.14812","title":"“Smart” Educational Technology: A Conversation between sava saheli singh, Jade E. Davis, and Chris Gilliard","year":2021,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"JADE (particle detector); Conversation; Sociology; Art; Humanities; Physics; Communication","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005065339,0.0001766458,0.0002454751,0.00005258976,0.000374312,0.0001974193,0.0005883014,0.0001747828,0.00002426328],"category_scores_gemma":[0.0002007627,0.0001967727,0.00008643328,0.0007461242,0.0002720974,0.0002977872,0.0005978317,0.0003184337,0.0000292398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001577411,"about_ca_system_score_gemma":0.0004691932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004936661,"about_ca_topic_score_gemma":0.00004047147,"domain_scores_codex":[0.9986223,0.0001378227,0.0002498729,0.0003756965,0.0002873406,0.0003269873],"domain_scores_gemma":[0.9983678,0.0004203459,0.0001182559,0.0006994414,0.0003331802,0.00006095112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002566358,0.00007606947,0.909805,0.0001350052,0.0002091411,0.000004807981,0.01782938,0.00001439304,0.0008133319,0.0216961,0.02676487,0.02264935],"study_design_scores_gemma":[0.0008875291,0.0000559107,0.8763097,0.0001347878,0.00001362148,0.0000616863,0.003924157,0.002004154,0.004401281,0.03461175,0.0767192,0.0008762208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7564401,0.006542025,0.08651578,0.1454133,0.001877724,0.0003854057,0.00007479347,0.0009693402,0.001781535],"genre_scores_gemma":[0.9530434,0.0007188293,0.04497624,0.0007097553,0.0001458693,0.00001770777,0.00007200404,0.00001491219,0.0003012991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1966033,"threshold_uncertainty_score":0.8024158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661131673861592,"score_gpt":0.2525549650487325,"score_spread":0.2359436483101165,"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."}}