{"id":"W1484264461","doi":"10.1108/14691930510574663","title":"Identifying tangible costs, benefits and risks of an investment in intellectual capital","year":2005,"lang":"en","type":"article","venue":"Journal of Intellectual Capital","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; Acadia University","funders":"","keywords":"Intellectual capital; Originality; Business; Flexibility (engineering); Investment (military); Economics; Value (mathematics); Actuarial science; Marketing; Finance; Creativity; Psychology; Management; Social psychology","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":[],"category_scores_codex":[0.0009570617,0.0003808692,0.0007101696,0.00183468,0.0001452619,0.0002803562,0.0004935763,0.0001661693,0.001837482],"category_scores_gemma":[0.001730369,0.0003246682,0.0002890868,0.001008485,0.0002189617,0.002932821,0.0002465332,0.0006132601,0.0002175581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002151043,"about_ca_system_score_gemma":0.00008972792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007081231,"about_ca_topic_score_gemma":0.001233956,"domain_scores_codex":[0.9971585,0.0000424445,0.001307762,0.0003226848,0.0006701303,0.0004984499],"domain_scores_gemma":[0.997929,0.0004732094,0.0006770067,0.0002235483,0.0006161202,0.00008114935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.008465351,0.007157796,0.03228149,0.001626175,0.002784382,0.0005315007,0.3282573,0.01430873,0.03021847,0.03846076,0.04063439,0.4952737],"study_design_scores_gemma":[0.02595378,0.01327998,0.04216502,0.005886698,0.003792857,0.003331315,0.4323242,0.2000363,0.1679846,0.02290785,0.07196286,0.01037456],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915269,0.004619085,0.0001342206,0.0001665061,0.0003253752,0.0001705191,0.000005902289,0.00002148797,0.003029979],"genre_scores_gemma":[0.9966856,0.0007497575,0.0004438943,0.0007053374,0.001224622,0.000004624706,0.00001516186,0.00004273307,0.0001282663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4848992,"threshold_uncertainty_score":0.9999205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04911163809368665,"score_gpt":0.275929537739963,"score_spread":0.2268178996462764,"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."}}