{"id":"W4213408158","doi":"","title":"Quel accompagnement pour le développement des TPE-PME : une synthèse de cas québécois et français ?","year":2014,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science","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":[0.004462087,0.0004761109,0.0004365657,0.002677245,0.006816206,0.007992703,0.001154118,0.00137472,0.01124948],"category_scores_gemma":[0.01174158,0.0002523787,0.0004795175,0.007536498,0.004233563,0.003962927,0.001847554,0.002190749,0.0005299642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04665327,"about_ca_system_score_gemma":0.06573799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.937252,"about_ca_topic_score_gemma":0.9602613,"domain_scores_codex":[0.9964896,0.001072427,0.0001301567,0.0003698019,0.0008035662,0.001134358],"domain_scores_gemma":[0.9908455,0.002435934,0.0007766661,0.0005081618,0.003989993,0.001443776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003135944,0.0001639762,0.1692422,0.001222825,0.0002282003,0.001637937,0.0769965,0.001798594,0.00121272,0.4495916,0.06682938,0.2307625],"study_design_scores_gemma":[0.00004248416,0.00007146659,0.3165558,0.003097245,0.0001291153,0.000700809,0.09042046,0.001519319,0.0007872133,0.009664373,0.5769126,0.00009913197],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5620986,0.03508259,0.006077045,0.08650897,0.0008821685,0.0002042775,0.003367643,0.0001002886,0.3056785],"genre_scores_gemma":[0.9665399,0.005354607,0.002330987,0.001994593,0.00005660738,0.00008325563,0.0004859121,0.00004814663,0.02310607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06274796,"threshold_uncertainty_score":0.3384948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02340328915716835,"score_gpt":0.2722429979933504,"score_spread":0.2488397088361821,"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."}}