{"id":"W7140958088","doi":"","title":"Manipuler les cartes pour motiver des révisions de code de qualité par les pairs : une approche ludique basée sur un jeu de cartes","year":2025,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Competence (human resources); Autonomy; Thematic analysis; Incentive; Self-determination theory; Wilcoxon signed-rank test; Peer feedback; Quality (philosophy); Code (set theory)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008846046,0.001462911,0.001113415,0.002943904,0.001386898,0.003655933,0.003697818,0.002101613,0.008264783],"category_scores_gemma":[0.03333002,0.0009508804,0.001183146,0.001284202,0.001788725,0.003214319,0.002771607,0.001482023,0.003257702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218417,"about_ca_system_score_gemma":0.003507381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006098331,"about_ca_topic_score_gemma":0.007437547,"domain_scores_codex":[0.9918161,0.003775611,0.0003550849,0.001205121,0.002556669,0.0002914659],"domain_scores_gemma":[0.9790788,0.01066889,0.001708905,0.002350837,0.005108592,0.001083918],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004494261,0.0005842384,0.004915799,0.0007738565,0.0001063656,0.0002813711,0.001999408,0.008107932,0.0105514,0.007126545,0.006027479,0.9590762],"study_design_scores_gemma":[0.001094003,0.006368855,0.03033604,0.002621434,0.001008458,0.003512932,0.006987139,0.5159561,0.05339205,0.03767272,0.3401075,0.0009427803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06891616,0.002309183,0.9039382,0.003302196,0.0004462465,0.001295487,0.0001608576,0.00854462,0.01108695],"genre_scores_gemma":[0.2588491,0.001411497,0.718269,0.000530228,0.0001962093,0.0009878284,0.0002583454,0.000762851,0.01873502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.991154,"threshold_uncertainty_score":0.04678291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1266481501347425,"score_gpt":0.326502254251893,"score_spread":0.1998541041171505,"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."}}