{"id":"W1967056424","doi":"10.1108/03090560810877150","title":"Competitive intelligence information and innovation in small Canadian firms","year":2008,"lang":"en","type":"article","venue":"European Journal of Marketing","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Competitor analysis; Competitive intelligence; Originality; Business; Marketing; Sample (material); Service (business); Product (mathematics); Competitive advantage; Market intelligence; Product innovation; Information technology; Service innovation; Value (mathematics); Process (computing); Industrial organization; Knowledge management; Computer science; Creativity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004450263,0.00008953403,0.000114508,0.001087925,0.000115975,0.000100895,0.0001590712,0.0000128649,0.00007897369],"category_scores_gemma":[0.00185948,0.0000851485,0.00002384877,0.000776148,0.00005207842,0.0009827708,0.00006537319,0.0002098263,0.0001019651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004273322,"about_ca_system_score_gemma":0.0000547807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008403264,"about_ca_topic_score_gemma":0.003695765,"domain_scores_codex":[0.9989462,0.0001243135,0.0006101747,0.00006866485,0.00009432925,0.0001562813],"domain_scores_gemma":[0.9988341,0.000136325,0.0004194453,0.00005301027,0.0005391671,0.0000178915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003399118,0.00006249737,0.3234584,0.0002384892,0.00003284504,0.0009619205,0.002619163,0.0002225711,0.0002364345,0.06183669,0.001324608,0.6086665],"study_design_scores_gemma":[0.0003009913,0.0000325052,0.7327039,0.0006931247,0.000008990945,0.000170122,0.002414993,0.0009566211,0.00009563348,0.0003398455,0.2620384,0.0002448632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6944382,0.0001050557,0.002009444,0.0003002104,0.0002177958,0.00006014709,5.581543e-7,0.00000814316,0.3028605],"genre_scores_gemma":[0.9984723,0.00007618775,0.0004285067,0.0005900874,0.0003618324,2.611021e-7,0.000002881651,0.000008207722,0.00005975771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6084216,"threshold_uncertainty_score":0.3472255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899309951498218,"score_gpt":0.2115681238421052,"score_spread":0.182575024327123,"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."}}