{"id":"W1712855502","doi":"","title":"THE CHIEF TECHNOLOGY OFFICER AS TECHNOLOGY LEADER","year":2007,"lang":"en","type":"article","venue":"ASAC","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Officer; Business; Management; Operations management; Public relations; Engineering; Political science; Economics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00494303,0.0008546953,0.001124193,0.001931543,0.006972041,0.01191536,0.001120816,0.00996681,0.1015378],"category_scores_gemma":[0.02232659,0.0006539854,0.0004144421,0.001281387,0.001883596,0.005216393,0.002645373,0.01003694,0.06854976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002596645,"about_ca_system_score_gemma":0.02422258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003179147,"about_ca_topic_score_gemma":0.008188549,"domain_scores_codex":[0.9902171,0.00155707,0.0005746514,0.001090982,0.004687912,0.001872236],"domain_scores_gemma":[0.9454305,0.003693172,0.002687914,0.001257778,0.0221318,0.02479888],"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":[0.00003517602,0.0000526027,0.0008967918,0.00007225826,0.000004711893,0.0002606807,0.0002162778,0.00003685066,0.00042267,0.004209035,0.953892,0.03990096],"study_design_scores_gemma":[0.00003056422,0.0001258867,0.002263099,0.0001746117,0.00001249699,0.000341553,0.001436449,0.0003590267,0.0004656802,0.002262576,0.9924991,0.00002895184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005510724,0.004677526,0.003072882,0.5895488,0.1711344,0.0003970812,0.0003465964,0.0007219255,0.2245901],"genre_scores_gemma":[0.03074949,0.003582606,0.001544616,0.03930318,0.01900433,0.0001943045,0.000193017,0.0001448753,0.9052837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1015378,"threshold_uncertainty_score":0.3396777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580534699832407,"score_gpt":0.3200646264859867,"score_spread":0.3042592794876626,"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."}}