{"id":"W7096301054","doi":"","title":"KNOWLEDGE FOR COMPETITIVE ADVANTAGE: PUTTING KNOWLEDGE AT THE CORE OF THE BUSINESS By","year":2016,"lang":"en","type":"article","venue":"","topic":"Melamine detection and toxicity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Certification; Core competency; Core (optical fiber); Strategic management; Knowledge economy; Core Knowledge; Competitive advantage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001914967,0.00008239132,0.0001000603,0.000002795645,0.0002915353,0.000009267716,0.0002260623,0.00004290971,0.000737385],"category_scores_gemma":[0.0001583861,0.00001433928,0.00008486513,0.0002265289,0.0001399909,0.00003732428,0.0001316132,0.00003324379,0.00004109343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002076348,"about_ca_system_score_gemma":0.000005699976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001954845,"about_ca_topic_score_gemma":0.001574979,"domain_scores_codex":[0.9994527,0.0000521123,0.0001373494,0.0001504194,0.00006574422,0.000141647],"domain_scores_gemma":[0.9989359,0.000722626,0.00008066557,0.00005628233,0.0001763266,0.00002817555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002086338,0.00008204105,0.00348739,0.000009259116,0.000008304512,3.855545e-8,0.00005714146,3.840066e-8,0.8604044,0.003518678,0.01441492,0.117997],"study_design_scores_gemma":[0.000340606,0.0000985915,0.07487506,0.00004948564,0.00001175272,0.000004195225,0.0004910611,0.00003727559,0.3459726,0.0003604876,0.5776367,0.0001221786],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715132,0.0002135473,0.00007678864,0.003693883,0.0003572855,0.0003606322,0.0001348169,0.00003374565,0.02361612],"genre_scores_gemma":[0.9589824,0.00001332082,0.0000117504,0.00008162403,0.0001407859,0.00001909928,0.00000493178,6.446425e-7,0.04074546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5632218,"threshold_uncertainty_score":0.8073849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028232786026094,"score_gpt":0.2569087963292312,"score_spread":0.2286760103031372,"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."}}