{"id":"W4210996440","doi":"10.1002/aris.1440360109","title":"Competitive intelligence","year":2002,"lang":"en","type":"article","venue":"Annual Review of Information Science and Technology","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Benchmarking; Productivity; Best practice; Citation; Library science; Competitive intelligence; Quality (philosophy); Sociology; Management; Computer science; Knowledge management","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005838126,0.00008076691,0.0001613835,0.0006640601,0.0001252299,0.00004843546,0.000389837,0.0000319514,0.0003556715],"category_scores_gemma":[0.001458739,0.00006559185,0.00002088996,0.002741167,0.0008221047,0.003925547,0.0002397782,0.00008395111,0.0009360502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001274418,"about_ca_system_score_gemma":0.00002139373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001058899,"about_ca_topic_score_gemma":0.00000313364,"domain_scores_codex":[0.999105,0.000002074284,0.0003465827,0.0001103691,0.0002755617,0.0001603497],"domain_scores_gemma":[0.9975914,0.00002544443,0.0002208645,0.0001631115,0.001989814,0.000009367992],"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":[4.5433e-7,0.00000920998,0.0001759909,0.0005511406,0.000001175057,2.751491e-7,0.00005323928,6.250563e-8,0.00001525935,0.6934086,0.0007604849,0.3050241],"study_design_scores_gemma":[0.00003741155,0.0000272216,0.0002069334,0.001575984,0.000009424637,0.0000104826,0.001752157,0.0006812812,0.001032595,0.004214324,0.9903235,0.0001286545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004764325,0.0214661,0.002581806,0.01131275,0.0003404031,0.0006018525,0.00001020504,0.000199612,0.9587229],"genre_scores_gemma":[0.9689755,0.02517242,0.0002577265,0.005465091,0.00004864904,0.00001718148,0.000002813673,0.000002715352,0.00005790509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.989563,"threshold_uncertainty_score":0.9998418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158611248831384,"score_gpt":0.2642444253431958,"score_spread":0.2483833004600574,"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."}}