{"id":"W6931054539","doi":"10.5281/zenodo.15008755","title":"FAD Express : Guide d'adaptation d'un cours en FAD, version condensée","year":2020,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Control (management); Field (mathematics); Mechanism (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005349263,0.002380841,0.001249696,0.003545361,0.001155186,0.006914102,0.00375884,0.002186337,0.2212946],"category_scores_gemma":[0.02059,0.002843592,0.002140662,0.001981589,0.001013738,0.005242991,0.003188019,0.004144413,0.2846546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607995,"about_ca_system_score_gemma":0.003508402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01402658,"about_ca_topic_score_gemma":0.0132571,"domain_scores_codex":[0.9964868,0.0007619594,0.0003699033,0.000578254,0.001516566,0.0002865272],"domain_scores_gemma":[0.9931185,0.002101713,0.0002428127,0.001592404,0.002645106,0.0002993902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002163038,0.00004047923,0.0004268405,0.0003848402,0.00003851513,0.0001061652,0.0003362579,0.001206639,0.002535634,0.01029797,0.8219079,0.1625025],"study_design_scores_gemma":[0.00002910947,0.00001562159,0.0002630881,0.0001050255,0.0000128988,0.0001210233,0.00004121652,0.001503386,0.002170505,0.002647315,0.993046,0.00004482155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001615448,0.002316854,0.507255,0.001605175,0.003168238,0.0006080911,0.0427319,0.360515,0.0801843],"genre_scores_gemma":[0.01321978,0.002852492,0.4004436,0.002018831,0.0005700233,0.00211223,0.08491391,0.204935,0.2889341],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2212946,"threshold_uncertainty_score":0.7403042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0363070095776224,"score_gpt":0.2434885045263972,"score_spread":0.2071814949487748,"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."}}