{"id":"W2809185978","doi":"10.1007/s40593-018-0170-7","title":"Learning at Scale","year":2018,"lang":"en","type":"article","venue":"International Journal of Artificial Intelligence in Education","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Affordance; Scale (ratio); Adaptation (eye); Educational technology; Computer science; Learning sciences; Informal learning; Field (mathematics); Formal learning; Mathematics education; Data science; Human–computer interaction; Pedagogy; 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":[0.000646645,0.0003805351,0.0004136933,0.0003904501,0.001149013,0.003246558,0.0008753001,0.0009357839,0.06234033],"category_scores_gemma":[0.00543419,0.0001897205,0.0003417465,0.0005486337,0.001245907,0.005914601,0.003671748,0.001730808,0.01670289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008094928,"about_ca_system_score_gemma":0.001139231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001515082,"about_ca_topic_score_gemma":0.00232965,"domain_scores_codex":[0.9993358,0.0001236004,0.00001939898,0.0002148967,0.0002261688,0.00007998276],"domain_scores_gemma":[0.9979145,0.000569337,0.00008103057,0.0007064368,0.0003580971,0.0003706496],"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":[0.0001144101,0.0002255334,0.003703865,0.0001008895,0.00002806421,0.0001736277,0.001293922,0.005925012,0.002712892,0.6419946,0.0627916,0.2809356],"study_design_scores_gemma":[0.00004119245,0.00007509344,0.001753276,0.00004712781,0.00001612555,0.0001376782,0.001131011,0.02109421,0.001840049,0.7855524,0.1882853,0.00002650886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06267567,0.0006323258,0.194644,0.01443165,0.000512418,0.0001892782,0.0008290297,0.003650866,0.7224348],"genre_scores_gemma":[0.6827682,0.0006116941,0.06631416,0.00182632,0.0003002366,0.0002361304,0.001487584,0.0005533811,0.2459022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06234033,"threshold_uncertainty_score":0.2085491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238514682014613,"score_gpt":0.3605505057060674,"score_spread":0.3381653588859213,"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."}}