{"id":"W3026465964","doi":"10.1016/j.emj.2020.05.003","title":"Linking organisational commitment with continuous learning through peripheral vision and procedural memory","year":2020,"lang":"en","type":"article","venue":"European Management Journal","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University of Warwick","keywords":"Peripheral vision; Psychology; Perspective (graphical); Sample (material); Knowledge management; Business; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0006924905,0.0001463715,0.0001442066,0.00003844109,0.001209057,0.0006994136,0.0002727152,0.0000148061,0.000293963],"category_scores_gemma":[0.00004045489,0.0001220512,0.00004009279,0.0001878537,0.0001092172,0.0004479506,0.0002565644,0.0003339436,0.00008908929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006121484,"about_ca_system_score_gemma":0.00001900924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003293058,"about_ca_topic_score_gemma":0.000005635578,"domain_scores_codex":[0.9984043,0.0003685344,0.0002254264,0.0002440509,0.0004804463,0.0002772422],"domain_scores_gemma":[0.9995311,0.00002004619,0.0001596661,0.00005258217,0.00006048427,0.0001760772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006338339,0.0002974824,0.09997892,0.0006083016,0.001095879,0.003207097,0.4916891,0.002302653,0.0003461119,0.09661635,0.04491826,0.258306],"study_design_scores_gemma":[0.002411218,0.0005848063,0.01576513,0.000252858,0.0001464608,0.00002153473,0.069202,0.001269566,0.000008383208,0.0005609514,0.9092638,0.0005132512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05118405,0.0002399764,0.01332179,0.01691072,0.0002065053,0.0004652975,3.746461e-7,0.0002156124,0.9174557],"genre_scores_gemma":[0.9871428,0.0002199647,0.004858343,0.002788393,0.001090187,0.000001679446,0.000004297262,0.00003518199,0.003859128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9359587,"threshold_uncertainty_score":0.9299212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02355704689347657,"score_gpt":0.2652776647476809,"score_spread":0.2417206178542044,"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."}}