{"id":"W2549997514","doi":"10.5267/j.msl.2016.10.005","title":"Linking intellectual capital and intellectual property to company performance","year":2016,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intellectual capital; Intellectual property; Business; Industrial organization; Capital (architecture); Knowledge management; Accounting; Marketing; Computer science; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007625935,0.0002981164,0.0002381945,0.00124779,0.0007241446,0.0006494286,0.0008310869,0.00003216526,0.0006726025],"category_scores_gemma":[0.0002034028,0.0001682724,0.00007124664,0.001975477,0.0006363555,0.002371053,0.001009303,0.0001263887,0.003460262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130999,"about_ca_system_score_gemma":0.000008176925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007485242,"about_ca_topic_score_gemma":0.0000208617,"domain_scores_codex":[0.9974487,0.000007958714,0.0003269384,0.000729382,0.0007043205,0.0007827238],"domain_scores_gemma":[0.9993348,0.00008463377,0.00008772968,0.0003564187,0.00008070701,0.00005567633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005233812,0.0002409746,0.08118849,0.0007846163,0.0002225927,0.00006415124,0.009532331,0.0005305009,0.0705286,0.007881409,0.1119207,0.7165822],"study_design_scores_gemma":[0.002826986,0.0005198785,0.08030716,0.001576111,0.0004179941,0.00004361647,0.006262599,0.05087736,0.01089127,0.0007265637,0.8411777,0.004372761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745762,0.00001668723,0.003825717,0.006052198,0.0003752342,0.0003551095,7.273146e-7,0.0001412719,0.01465686],"genre_scores_gemma":[0.9827477,0.00005810178,0.0003000583,0.0144405,0.0004435705,0.00003571417,0.000002482942,0.00002247196,0.001949377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.729257,"threshold_uncertainty_score":0.9973156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01520915526001995,"score_gpt":0.2027659164446726,"score_spread":0.1875567611846527,"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."}}