{"id":"W3128636937","doi":"10.1145/3446243.3446250","title":"Artificial intelligence for students in postsecondary education","year":2020,"lang":"en","type":"article","venue":"AI Matters","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Postsecondary education; Medical education; Psychology; Mathematics education; Learning disability; Pedagogy; Higher education; Political science; Medicine; Developmental psychology","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":[0.00008903629,0.00004992447,0.00006399877,0.00004522425,0.00002562504,0.0001014309,0.0004252224,0.00001740885,0.000008414125],"category_scores_gemma":[0.00002399329,0.00005187901,0.00002558375,0.0001725209,0.000009992805,0.0001442724,0.00006887686,0.00008466031,0.00008003006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001515541,"about_ca_system_score_gemma":0.00006637529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001175421,"about_ca_topic_score_gemma":0.000004350783,"domain_scores_codex":[0.9994707,0.00001633541,0.0001387042,0.000172402,0.00009445215,0.0001074197],"domain_scores_gemma":[0.9997597,0.00003337112,0.00003100031,0.0001059033,0.00002314213,0.00004689092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000393986,0.0006414033,0.0149718,0.0001790137,0.00003597358,0.00001427368,0.01054509,0.003703221,0.002102947,0.05800132,0.1020325,0.8077331],"study_design_scores_gemma":[0.0003043796,0.0006837743,0.01429525,0.0001809164,0.0000239946,0.000009748109,0.001733901,0.7645651,0.005938683,0.1131649,0.09815909,0.0009402735],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0358812,0.00001717921,0.3688495,0.5947806,0.0002775311,0.0001154149,0.000001529345,0.00005282222,0.00002424837],"genre_scores_gemma":[0.8475617,0.000001622549,0.0106446,0.1416046,0.0001058398,0.000007669302,0.00000508279,0.000005404739,0.00006345319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8116805,"threshold_uncertainty_score":0.2115564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479991213896071,"score_gpt":0.3519332936231699,"score_spread":0.3271333814842092,"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."}}