{"id":"W3097414103","doi":"10.13140/rg.2.2.24854.78404","title":"Entre persévérance et abandon en formation universitaire à distance : divers facteurs à prendre en compte","year":2020,"lang":"fr","type":"article","venue":"R-libre (Université Téluq)","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Université TÉLUQ","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.01423871,0.0003376311,0.0006108682,0.001830673,0.004163157,0.009912756,0.001524524,0.001292016,0.007476019],"category_scores_gemma":[0.05483109,0.0004814058,0.0005472461,0.002655079,0.006572308,0.006433145,0.005833735,0.002281342,0.0005248036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006641135,"about_ca_system_score_gemma":0.009737782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03299968,"about_ca_topic_score_gemma":0.04298407,"domain_scores_codex":[0.9876681,0.005448156,0.0009311718,0.001316749,0.003562892,0.001072918],"domain_scores_gemma":[0.9360308,0.0395689,0.009404464,0.002768033,0.00759791,0.004629766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002289983,0.0002611587,0.4777296,0.0003943935,0.0001373814,0.0003614781,0.4097161,0.0004451067,0.0007742865,0.02447587,0.0009873721,0.08448835],"study_design_scores_gemma":[0.00002808997,0.0003570699,0.4792532,0.0005625656,0.0001116688,0.0002903775,0.4781488,0.0008388881,0.001229979,0.01094553,0.02812791,0.000105825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783292,0.001166818,0.003669387,0.002429341,0.00003981594,0.00007079382,0.0000462114,0.00001913517,0.01422935],"genre_scores_gemma":[0.9941392,0.0005808802,0.001363203,0.0001810635,0.00001081124,0.00007991362,0.00002815089,0.00001494398,0.003601835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03299968,"threshold_uncertainty_score":0.07530242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113926392120199,"score_gpt":0.2273270626652428,"score_spread":0.2161877987440408,"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."}}