{"id":"W4387030388","doi":"","title":"Développement d’un «living lab» en intelligence économique, l’exemple du diplôme d’intelligence économique de l’université de Corse Pascal Paoli","year":2019,"lang":"fr","type":"preprint","venue":"HAL AMU","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Francophone University Association","funders":"","keywords":"Pascal (unit); Competitive intelligence; Computer science; Artificial intelligence; Engineering; Knowledge management; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002332038,0.001358865,0.001267273,0.0005336148,0.0007932702,0.0007908468,0.002507729,0.0008829974,0.01767511],"category_scores_gemma":[0.0009383901,0.001597009,0.0007878116,0.0005398,0.0004832375,0.0009383796,0.007063465,0.001515299,0.01229861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002747092,"about_ca_system_score_gemma":0.0005381251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007574289,"about_ca_topic_score_gemma":0.007762933,"domain_scores_codex":[0.9941021,0.0003523495,0.001426482,0.001980969,0.0002664454,0.001871709],"domain_scores_gemma":[0.9947861,0.001821169,0.001026641,0.001276244,0.0008393938,0.0002504743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003476495,0.001116931,0.6263487,0.00250022,0.0007525298,0.0005673103,0.007365838,0.01146559,0.000701467,0.2490565,0.005711016,0.09406628],"study_design_scores_gemma":[0.0005309841,0.0002319322,0.1969403,0.008220889,0.001027747,0.0002597375,0.006634473,0.1710006,0.02158874,0.07251199,0.5153679,0.005684647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7225664,0.00288687,0.215668,0.007002541,0.004203825,0.001775262,0.00009392507,0.0003864732,0.04541675],"genre_scores_gemma":[0.964793,0.00882343,0.003106662,0.001548089,0.003319053,0.0001358115,0.0001134936,0.0001849415,0.01797553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5096569,"threshold_uncertainty_score":0.9999162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370649843486877,"score_gpt":0.2258402534112831,"score_spread":0.2021337549764143,"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."}}