{"id":"W1487537488","doi":"10.3917/riges.402.0038","title":"Boule de cristal pour employeurs proactifs","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":"World Federation of Science Journalists; HEC Montréal","funders":"","keywords":"Political science; Humanities; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000504707,0.0001720776,0.0001375617,0.0001221439,0.0001102984,0.0003098524,0.0001634854,0.0001263678,0.0005924257],"category_scores_gemma":[0.0006902462,0.0001916489,0.00007031675,0.0002960977,0.00007969647,0.0009484763,0.0001194227,0.0002230787,0.007648681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001929076,"about_ca_system_score_gemma":0.0001497559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001160052,"about_ca_topic_score_gemma":0.0002798493,"domain_scores_codex":[0.9989395,0.0000363893,0.0001960788,0.0002591432,0.0001891315,0.0003797555],"domain_scores_gemma":[0.9990854,0.00004239709,0.0001080281,0.0001667813,0.0005503327,0.00004702927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001928954,0.0008955282,0.2028504,0.0007483761,0.0000737384,0.0001780703,0.001011849,0.0003859705,0.0007256169,0.1899188,0.3629022,0.2401165],"study_design_scores_gemma":[0.0003082326,0.00003928205,0.02472184,0.0003669741,0.000101962,0.00002392142,0.000820713,0.007264746,0.0005290164,0.0146261,0.9508772,0.0003199568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5671753,0.0259567,0.03952921,0.1074743,0.01190519,0.0008235123,0.00001615987,0.0004973375,0.2466222],"genre_scores_gemma":[0.9231976,0.00007321203,0.0005738288,0.0005845301,0.003836515,0.00001931163,0.00002694064,0.00003456813,0.07165348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.587975,"threshold_uncertainty_score":0.993124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05929874388793938,"score_gpt":0.2764467119424939,"score_spread":0.2171479680545546,"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."}}