{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002799924,0.0002254039,0.0003067793,0.0005017615,0.003146141,0.004386689,0.0006603376,0.001489504,0.01910001],"category_scores_gemma":[0.01097128,0.0001115466,0.0002675678,0.0004476246,0.001209131,0.003495236,0.003242577,0.003286282,0.005352192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121538,"about_ca_system_score_gemma":0.004331549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002399398,"about_ca_topic_score_gemma":0.008622397,"domain_scores_codex":[0.9990369,0.0003647204,0.00005354521,0.00009591419,0.0002417188,0.0002070917],"domain_scores_gemma":[0.9940805,0.002185662,0.0002698055,0.0003578861,0.0007912626,0.002314883],"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":[0.00008233625,0.0007613621,0.02311415,0.0005296791,0.00002177707,0.0004257223,0.01061659,0.0003659164,0.001739021,0.05508814,0.4503168,0.4569385],"study_design_scores_gemma":[0.00001351662,0.0002571333,0.01980133,0.0006899138,0.00001465333,0.0004013998,0.01869722,0.001259311,0.001458686,0.08731354,0.8700614,0.00003201177],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1417109,0.01945976,0.01054037,0.5171329,0.004352059,0.0001882919,0.0004461449,0.0005725389,0.3055969],"genre_scores_gemma":[0.7845324,0.02220299,0.02103178,0.03452687,0.001616035,0.0002982183,0.0007421239,0.000169335,0.1348803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01910001,"threshold_uncertainty_score":0.06389588,"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."}}