{"id":"W174492255","doi":"","title":"La veille stratégique intégrée: Connaissances, mimétisme, niveau d’aspiration","year":2006,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Humanities; Political science; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002909206,0.001012964,0.0008947256,0.001682767,0.001256117,0.006138662,0.001119498,0.002023444,0.008712356],"category_scores_gemma":[0.00954839,0.0006072217,0.001336188,0.002225786,0.004442528,0.006555654,0.0038104,0.00264159,0.0007728865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003111777,"about_ca_system_score_gemma":0.001835499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005168435,"about_ca_topic_score_gemma":0.003377863,"domain_scores_codex":[0.9972004,0.001361339,0.00009017153,0.0004787631,0.0006335638,0.0002356919],"domain_scores_gemma":[0.9962347,0.002428628,0.0004333409,0.0003524928,0.0002945674,0.0002562968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009930238,0.00009084931,0.005892346,0.0001583544,0.00008867609,0.0002238051,0.002716301,0.03219549,0.001822626,0.9228246,0.000487695,0.03339987],"study_design_scores_gemma":[0.00006684976,0.0002322065,0.006955046,0.0001455416,0.00006719941,0.0003286716,0.001536345,0.116232,0.001498338,0.8577945,0.01506344,0.00007985044],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.281436,0.002030573,0.566602,0.003710487,0.00007355457,0.0001836914,0.0002575868,0.000268845,0.1454372],"genre_scores_gemma":[0.9142047,0.0006519699,0.07311311,0.00008176172,0.00002344681,0.0002208782,0.00009784244,0.00005749321,0.01154877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008712356,"threshold_uncertainty_score":0.02914572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322651971472767,"score_gpt":0.2965007637153402,"score_spread":0.2642355665680635,"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."}}