{"id":"W6966805008","doi":"10.4224/21274696","title":"Aider les PME à choisir les meilleures technologies numériques pour faciliter leur croissance : étude de cas","year":2014,"lang":"fr","type":"report","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Order (exchange); Subject (documents)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001999258,0.0007473425,0.0007204689,0.00132693,0.003039288,0.004082048,0.001494408,0.002034851,0.02185656],"category_scores_gemma":[0.02076858,0.0004814707,0.0008343899,0.001785002,0.002267417,0.002945273,0.001794576,0.002050501,0.004404573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001990177,"about_ca_system_score_gemma":0.005533275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01768295,"about_ca_topic_score_gemma":0.01408927,"domain_scores_codex":[0.9975776,0.0007928975,0.0002160353,0.0003125802,0.0006372369,0.0004635272],"domain_scores_gemma":[0.9943367,0.002675977,0.0008064598,0.0006100473,0.0009449898,0.0006258347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002837423,0.004322136,0.3919368,0.003925992,0.0002516895,0.04100681,0.04462449,0.001053732,0.004161611,0.02904733,0.05542467,0.4214074],"study_design_scores_gemma":[0.0005996193,0.00349387,0.2585073,0.005032523,0.001005814,0.1930656,0.1228173,0.005703351,0.01383045,0.01725501,0.3782959,0.0003933202],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.877524,0.01041709,0.01003962,0.006398461,0.0006444675,0.0006337077,0.001020356,0.0002587895,0.0930635],"genre_scores_gemma":[0.9675003,0.004640541,0.00506012,0.001469389,0.0001054044,0.0003399286,0.0003812895,0.0001219248,0.02038112],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02185656,"threshold_uncertainty_score":0.07311755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05463702406646082,"score_gpt":0.3024756574477262,"score_spread":0.2478386333812654,"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."}}