{"id":"W4410158198","doi":"10.7202/1117704ar","title":"Gestion des risques de la transformation numérique des PME : une analyse de genre1","year":2025,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004995331,0.000523137,0.0005897799,0.003104574,0.002461555,0.007240101,0.001257214,0.0011842,0.01352628],"category_scores_gemma":[0.02354804,0.0002713206,0.0005571043,0.003939993,0.003877237,0.004674225,0.003046334,0.001210795,0.001478722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004617722,"about_ca_system_score_gemma":0.002758082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01698193,"about_ca_topic_score_gemma":0.02065191,"domain_scores_codex":[0.9958504,0.001816515,0.0002549989,0.0005593674,0.001308164,0.0002105591],"domain_scores_gemma":[0.9830011,0.01022739,0.002392491,0.000937901,0.002918721,0.0005224486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003283809,0.0001352083,0.2128357,0.001768011,0.0001396914,0.001298769,0.4823949,0.0003210914,0.003580614,0.07403835,0.006158625,0.2170006],"study_design_scores_gemma":[0.00002463732,0.0002213127,0.4706474,0.002733717,0.0001231904,0.001776495,0.3094181,0.001059262,0.001598528,0.02498401,0.1873207,0.00009267458],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8141138,0.005417242,0.01479553,0.004327438,0.0002751972,0.0003267482,0.0015709,0.00007767341,0.1590955],"genre_scores_gemma":[0.9489585,0.002927222,0.01245826,0.0005748718,0.0001100809,0.0005085483,0.0007126995,0.0001033663,0.03364643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01698193,"threshold_uncertainty_score":0.04524994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274325839547373,"score_gpt":0.2694061423004778,"score_spread":0.246662883905004,"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."}}