{"id":"W2488543021","doi":"10.4018/978-1-59904-078-3.ch024","title":"Final CIO Comments","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":[0.0001582514,0.0004542063,0.0003806247,0.0001562846,0.0001527175,0.0002266902,0.0004946703,0.0002758065,0.001306997],"category_scores_gemma":[0.00002238296,0.0004621824,0.0002525272,0.00003193677,0.0001158804,0.0001263232,0.0004247483,0.0003198854,0.008965571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493803,"about_ca_system_score_gemma":0.00004798942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001879578,"about_ca_topic_score_gemma":0.0006206306,"domain_scores_codex":[0.9983534,0.000002263869,0.0003972507,0.0004517554,0.0003864139,0.0004089301],"domain_scores_gemma":[0.9989975,0.00002854137,0.0002687765,0.0003804625,0.0002960283,0.00002870406],"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":[0.00003661202,0.00001536979,0.0003630854,0.00007096595,0.00005175497,0.0001209278,0.000004478145,2.412842e-7,0.000001928845,0.9631773,0.01404853,0.02210878],"study_design_scores_gemma":[0.0001504759,0.00001071872,0.0001224629,0.000245438,0.0000682621,0.000006463396,0.000006483868,0.00001568783,0.000009611314,0.3203343,0.6786519,0.0003782407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001199764,0.0002893107,0.0002586413,0.00007414814,0.001166652,0.0002601518,0.00002756348,0.0001620074,0.9976416],"genre_scores_gemma":[0.2114169,0.000007767459,0.0001346024,0.01013124,0.007346426,0.00001356261,0.00003561607,0.0001134834,0.7708004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6646034,"threshold_uncertainty_score":0.999783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0636101768158974,"score_gpt":0.2808034674822135,"score_spread":0.2171932906663161,"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."}}