{"id":"W2153704806","doi":"","title":"Intelligence économique. Enquête dans 100 TPE","year":2010,"lang":"fr","type":"article","venue":"Revue internationale P M E Économie et gestion de la petite et moyenne entreprise","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer 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":[0.002889074,0.002519814,0.001598065,0.008023626,0.002567564,0.01015197,0.00136788,0.003712711,0.1192522],"category_scores_gemma":[0.006170854,0.0009436457,0.00101136,0.01387127,0.00139173,0.006580956,0.003970195,0.004720255,0.06041869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005086085,"about_ca_system_score_gemma":0.004081837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03325446,"about_ca_topic_score_gemma":0.04385887,"domain_scores_codex":[0.9958621,0.0004271835,0.0003842824,0.0005024689,0.002392578,0.0004313581],"domain_scores_gemma":[0.9963825,0.000676661,0.0003248365,0.0001948628,0.001747808,0.0006732861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003566223,0.00001776491,0.000168061,0.0002708751,0.000006223106,0.00006215114,0.00009531317,0.00007729156,0.0001138373,0.002924846,0.9436768,0.05255129],"study_design_scores_gemma":[0.000002280324,0.000006235888,0.0007472148,0.0001717815,0.000001974369,0.00005135662,0.0001061887,0.00002566863,0.00003954074,0.0003048552,0.9985371,0.000005868066],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001340202,0.579368,0.001313239,0.04096006,0.1639195,0.00009910875,0.005644306,0.0004147323,0.2069409],"genre_scores_gemma":[0.009634648,0.2477097,0.001823053,0.006930522,0.03650442,0.0001790301,0.007652551,0.0007978919,0.6887681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1192522,"threshold_uncertainty_score":0.3989384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219076434645934,"score_gpt":0.2588095392110925,"score_spread":0.2366187748646332,"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."}}