{"id":"W2810669197","doi":"","title":"Comptabilisez vos succès. Le guide à la rédaction de courts cas / par Sylvie Deslauriers, PhD, MSc, FCPA, FCA, FCMA, CPA (FL), CMA (US), professeure en sciences comptables, Université du Québec à Trois-Rivières","year":2014,"lang":"fr","type":"article","venue":"","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00706209,0.0005619106,0.0004457928,0.001276621,0.01005755,0.008298843,0.002346177,0.003321826,0.02830828],"category_scores_gemma":[0.01058514,0.0003724404,0.000588242,0.001075629,0.008463675,0.004361349,0.004671736,0.005571904,0.003595821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02089876,"about_ca_system_score_gemma":0.04515821,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5831115,"about_ca_topic_score_gemma":0.7532604,"domain_scores_codex":[0.993292,0.001674843,0.0002065737,0.0007589466,0.002925004,0.001142646],"domain_scores_gemma":[0.9908904,0.001043373,0.0005635344,0.0007914333,0.004826244,0.001884948],"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":[0.00003657515,0.0001062184,0.007028812,0.0002399384,0.000040633,0.000609513,0.01586548,0.0008505417,0.001288115,0.2655808,0.4016636,0.3066899],"study_design_scores_gemma":[0.0000105907,0.00003897303,0.006452045,0.0006201768,0.00001307129,0.0002289858,0.00951999,0.0004410171,0.00054398,0.01695189,0.9651432,0.00003596049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.03472893,0.02611643,0.02837214,0.4081593,0.005402874,0.0002560162,0.0006412896,0.0009540146,0.4953691],"genre_scores_gemma":[0.3266747,0.009589555,0.02178008,0.03130711,0.0006369346,0.0002159891,0.000443177,0.000454217,0.6088983],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5831115,"threshold_uncertainty_score":0.8386874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269741117441265,"score_gpt":0.2657602123779737,"score_spread":0.2530628012035611,"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."}}