{"id":"W2223152332","doi":"10.3917/riges.403.0110","title":"L’exploitation intelligente des données : une stratégie payante","year":2015,"lang":"fr","type":"article","venue":"Gestion","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Humanities; Political science; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006065051,0.0002744551,0.000210193,0.0002332334,0.0002051062,0.0004552699,0.0002244752,0.0001539408,0.0004529655],"category_scores_gemma":[0.0008039539,0.0002898564,0.0001039495,0.0008728295,0.0002788687,0.002138864,0.0001333798,0.0002520619,0.007121221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001874955,"about_ca_system_score_gemma":0.00007569796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001907602,"about_ca_topic_score_gemma":0.002597005,"domain_scores_codex":[0.9984649,0.00005001585,0.0003930171,0.0003718361,0.0002946812,0.000425537],"domain_scores_gemma":[0.9981895,0.00009714934,0.0001987554,0.0002216281,0.001236102,0.00005687398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001994298,0.0005477699,0.03978905,0.001216437,0.00008770143,0.00007986333,0.002333401,0.001025506,0.0005800699,0.2960867,0.0221875,0.6358666],"study_design_scores_gemma":[0.0004610681,0.0001431276,0.01723997,0.0024252,0.0002175457,0.00001843934,0.006490928,0.01211987,0.001411879,0.1041212,0.8546851,0.0006656658],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5072775,0.09762888,0.1599303,0.06326091,0.01959083,0.001292025,0.00002960857,0.0007393045,0.1502507],"genre_scores_gemma":[0.9728054,0.001464792,0.000680365,0.0002810154,0.002410043,0.0000230681,0.00007616745,0.00004186076,0.02221725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8324976,"threshold_uncertainty_score":0.9999554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1073515913522138,"score_gpt":0.2753247978171314,"score_spread":0.1679732064649176,"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."}}