{"id":"W4236856992","doi":"10.4018/978-1-59904-078-3.ch001","title":"Overview","year":2007,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Officer; Identification (biology); Interpretation (philosophy); Chief executive officer; Political science; Management; Public relations; Business; Law; Computer science; Economics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000161036,0.0004340904,0.0004021517,0.0001373504,0.0001047152,0.0002096266,0.0004360647,0.0002767592,0.001409507],"category_scores_gemma":[0.00002433721,0.000428125,0.0002975052,0.00003830536,0.00009386284,0.000125842,0.0003646578,0.0002594536,0.01328976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001168405,"about_ca_system_score_gemma":0.00005089324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001704791,"about_ca_topic_score_gemma":0.0007867093,"domain_scores_codex":[0.9984632,0.000001689886,0.0003762841,0.0004520686,0.000347123,0.0003596974],"domain_scores_gemma":[0.9989946,0.00002392296,0.0002495552,0.00040593,0.0003019122,0.00002411311],"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":[0.00001489807,0.000007144628,0.00004588983,0.0001482004,0.00003941455,0.00009696045,0.000002529252,1.217569e-7,0.000001449154,0.9532313,0.007518946,0.03889313],"study_design_scores_gemma":[0.00006359533,0.000004997342,0.00003922029,0.0003260213,0.00006032568,0.000005156045,0.000003064712,0.000007258906,0.000004925597,0.3825037,0.6166748,0.0003069055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002280861,0.002444232,0.0002065632,0.0000401214,0.001062181,0.0002425185,0.00001580989,0.0001958305,0.9957699],"genre_scores_gemma":[0.04927935,0.0000609834,0.000135341,0.01038542,0.0110501,0.00001391374,0.00002262907,0.000153723,0.9288985],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6091558,"threshold_uncertainty_score":0.9998171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06177529969131146,"score_gpt":0.2846436624440491,"score_spread":0.2228683627527376,"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."}}