{"id":"W2331680676","doi":"10.1504/ejie.2016.075126","title":"Cognitive mapping links human factors to corporate strategies","year":2016,"lang":"en","type":"article","venue":"European J of Industrial Engineering","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Workplace Safety and Insurance Board","keywords":"Tacit knowledge; Cognitive map; Cognition; Quality (philosophy); Knowledge management; Strategic management; Process management; Business; Psychology; Computer science; Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000534347,0.000173707,0.0001863589,0.000288525,0.00007844299,0.0001236841,0.000607092,0.00005760746,0.00001408883],"category_scores_gemma":[0.0004020237,0.0001321398,0.00006260248,0.0005932688,0.00004300437,0.0006578409,0.0003204672,0.000214997,0.0000564748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000296041,"about_ca_system_score_gemma":0.00006315402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001026702,"about_ca_topic_score_gemma":9.590677e-7,"domain_scores_codex":[0.9987265,0.00006669894,0.0003120718,0.0003440331,0.0002275925,0.0003231408],"domain_scores_gemma":[0.999186,0.0001539837,0.0001527537,0.0002144194,0.0001347417,0.0001580734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001441917,0.00005837634,0.002782045,0.00002358818,0.00009129117,0.0001189045,0.004173532,0.001122504,0.7306471,0.03323164,0.000409266,0.2273273],"study_design_scores_gemma":[0.01383454,0.003553818,0.2060439,0.01531487,0.0001026012,0.00006134758,0.01126256,0.005214445,0.7118124,0.002577235,0.02363733,0.006584869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5344436,0.00000600231,0.4597688,0.0001236767,0.0004076946,0.0001464381,0.000006626951,0.0001664731,0.004930647],"genre_scores_gemma":[0.9986194,0.000001203009,0.0009999764,0.00003448121,0.0002281024,0.000002303106,0.000001262413,0.00001574625,0.00009757697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4641757,"threshold_uncertainty_score":0.5388506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113128099749457,"score_gpt":0.2525741462518525,"score_spread":0.1394460465023955,"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."}}