{"id":"W4244457499","doi":"10.18162/ritpu-2015-v12n12-12","title":"Trois stratégies pour favoriser l’engagement des participants à un MOOC","year":2015,"lang":"fr","type":"article","venue":"Revue internationale des technologies en pédagogie universitaire","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Psychology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005894673,0.0004050362,0.0003828971,0.0004650271,0.0003784357,0.0003333921,0.002333603,0.0003545008,0.00005437841],"category_scores_gemma":[0.001815111,0.0004500485,0.0002203029,0.0008222202,0.0009114245,0.001415114,0.001552004,0.0007393297,0.0002985941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339169,"about_ca_system_score_gemma":0.0004698124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002481229,"about_ca_topic_score_gemma":0.0002236647,"domain_scores_codex":[0.9973437,0.0002221778,0.0004251319,0.000697245,0.0004869536,0.0008248193],"domain_scores_gemma":[0.9976599,0.0003714645,0.000273136,0.000748841,0.000759701,0.0001870138],"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":[0.00003119099,0.0005599632,0.04033145,0.0002002169,0.0006136176,0.001312288,0.00835225,0.01557045,0.000116499,0.1352638,0.005296385,0.7923519],"study_design_scores_gemma":[0.003204853,0.001834815,0.01553746,0.002881188,0.0005854953,0.0004850645,0.1723919,0.2767664,0.004940495,0.2499566,0.2691916,0.00222404],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8409891,0.008369385,0.06877354,0.07344013,0.001101039,0.0002419886,0.00008163269,0.001858788,0.005144399],"genre_scores_gemma":[0.8060594,0.002863463,0.0556016,0.00003758844,0.0001579926,0.000006627909,0.00002030714,0.00003116719,0.1352218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7901278,"threshold_uncertainty_score":0.9997951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12201684988519,"score_gpt":0.314731251583192,"score_spread":0.192714401698002,"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."}}