{"id":"W2323655218","doi":"10.22215/timreview/1059","title":"Editorial: Insights (March 2017)","year":2017,"lang":"en","type":"editorial","venue":"Technology Innovation Management Review","topic":"University-Industry-Government Innovation Models","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Queen's University","funders":"","keywords":"Ambidexterity; Entrepreneurship; Outsourcing; Management; Knowledge management; Business; Political science; Sociology; Library science; Computer science; Marketing; Economics; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.001610992,0.000868353,0.001190067,0.004140177,0.0008013224,0.0005558245,0.003283814,0.003066431,0.0004714883],"category_scores_gemma":[0.001475335,0.000910725,0.0001606368,0.005655068,0.0003134281,0.002193226,0.002348006,0.003267027,0.002109009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004701767,"about_ca_system_score_gemma":0.000155746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004235844,"about_ca_topic_score_gemma":0.00001304298,"domain_scores_codex":[0.994206,0.00002437675,0.001444534,0.001279325,0.002375207,0.0006705262],"domain_scores_gemma":[0.9906937,0.00006216129,0.00365625,0.002614135,0.002959965,0.00001371458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009652072,0.00007095189,0.00002302902,0.005281882,0.0001966847,0.00003007347,8.516828e-7,8.648915e-7,0.000004923632,0.1949677,0.7926025,0.00681088],"study_design_scores_gemma":[0.0007381208,0.00001501244,0.000006920003,0.004914132,0.0005326329,5.40376e-7,0.00001908939,0.00001319591,0.000002490431,0.01265561,0.9802691,0.0008331033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001394066,0.002594914,0.0004757467,0.006902756,0.8735908,0.002088096,0.00002772157,0.001037211,0.1132688],"genre_scores_gemma":[0.00004540051,0.01382614,0.0003372686,0.00244042,0.9642963,0.0002700248,0.002289744,0.000127172,0.01636754],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1876666,"threshold_uncertainty_score":0.9993343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650707464854381,"score_gpt":0.2805698525996002,"score_spread":0.2540627779510564,"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."}}