{"id":"W7020943492","doi":"","title":"From MOOC to personal learning","year":2015,"lang":"en","type":"article","venue":"NPARC","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Experiential learning; Function (biology); Curriculum; Educational technology; Synchronous learning; Online learning; Learning design; Active learning (machine learning); Learning sciences","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006814766,0.0001526963,0.0000944946,0.0009658783,0.0008896738,0.00279201,0.0005331844,0.0004870033,0.009680985],"category_scores_gemma":[0.002807878,0.00008673307,0.0001271817,0.0008394212,0.001269502,0.002292848,0.002384957,0.0007780474,0.001746764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289306,"about_ca_system_score_gemma":0.001177439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002782745,"about_ca_topic_score_gemma":0.003921669,"domain_scores_codex":[0.999478,0.0001755762,0.00001953986,0.00008037542,0.0001564907,0.00009003089],"domain_scores_gemma":[0.9990994,0.0003544282,0.0000458473,0.0001109373,0.0002010406,0.0001883881],"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":[0.00004591481,0.0001687498,0.002253314,0.0007961871,0.00001485618,0.0002535622,0.01315195,0.0006894057,0.002488187,0.2168399,0.02347106,0.7398269],"study_design_scores_gemma":[0.000009332912,0.0001172092,0.005032802,0.0008083648,0.000007675133,0.0002384442,0.01338652,0.001209592,0.002245093,0.07566635,0.9012614,0.00001719284],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1344539,0.008396585,0.06710067,0.009702143,0.001041633,0.0003915043,0.0002680127,0.0009984656,0.7776471],"genre_scores_gemma":[0.8657165,0.005150665,0.03095479,0.002255914,0.0004383421,0.0002276643,0.0003428526,0.0002507163,0.09466257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009680985,"threshold_uncertainty_score":0.03238612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03138702341132149,"score_gpt":0.2402943846848881,"score_spread":0.2089073612735666,"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."}}