{"id":"W4405859381","doi":"10.62477/jkmp.v24i4.478","title":"How to Evaluate Managerial Cognition and Avoid Traps in Open Innovation","year":2024,"lang":"en","type":"article","venue":"Journal of Knowledge Management and Practice","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognition; Open innovation; Business; Psychology; Cognitive psychology; Knowledge management; Computer science; Marketing; Neuroscience","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002932478,0.0001455646,0.0001944284,0.001083538,0.00009269464,0.002891104,0.0002678492,0.00004532285,0.00005614758],"category_scores_gemma":[0.0006418751,0.0001232985,0.00002161789,0.001554901,0.000030991,0.00719833,0.0004809878,0.0001974387,0.00005837566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002507611,"about_ca_system_score_gemma":0.00001798494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001612489,"about_ca_topic_score_gemma":0.00003819179,"domain_scores_codex":[0.9989528,0.00004702579,0.0003845821,0.000235194,0.0002232578,0.0001571108],"domain_scores_gemma":[0.9990723,0.0001841498,0.000245299,0.0001031237,0.0003796371,0.00001552379],"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":[0.00111966,0.0002442615,0.000271334,0.001759024,0.000213157,0.0002999199,0.0003874018,0.000005697589,0.0007135246,0.1916262,0.0486946,0.7546653],"study_design_scores_gemma":[0.0006898206,0.00004465181,0.002197375,0.000641097,0.0003340514,0.0000579451,0.001416051,0.0006885374,0.00003695609,0.008311406,0.9853902,0.0001918391],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1438784,0.01039908,0.03082044,0.08292456,0.008067154,0.002930549,0.00001063037,0.0001137539,0.7208554],"genre_scores_gemma":[0.9918278,0.0007994772,0.001743598,0.001298534,0.001479987,0.00001773488,0.00001484843,0.00002330849,0.002794754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9366957,"threshold_uncertainty_score":0.998144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1236290353626625,"score_gpt":0.3757668843960202,"score_spread":0.2521378490333577,"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."}}