{"id":"W4400994406","doi":"10.69554/awdf1867","title":"From commercial silos to commercial integration","year":2018,"lang":"en","type":"article","venue":"Applied marketing analytics","topic":"Leadership and Management in Organizations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Information silo; Business; Silo; Engineering; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006406547,0.000210391,0.0002061273,0.0002797294,0.0004279757,0.0004250371,0.0003785729,0.00008721674,0.0009409971],"category_scores_gemma":[0.000446907,0.0002161565,0.00005204319,0.0009938253,0.00008416861,0.0002582734,0.0003012939,0.0001525225,0.002206396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004983692,"about_ca_system_score_gemma":0.00001393503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004954196,"about_ca_topic_score_gemma":0.0009109449,"domain_scores_codex":[0.9987068,0.0000184521,0.0003184724,0.0003506018,0.0002812552,0.0003244169],"domain_scores_gemma":[0.999092,0.0001551819,0.0001584594,0.0003521072,0.0002145761,0.00002771465],"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":[0.0003337571,0.0002486374,0.01210272,0.00007732246,0.0001651447,0.000004313676,0.001027527,0.00007821441,0.001407551,0.06656851,0.8073132,0.1106731],"study_design_scores_gemma":[0.00190264,0.00004214634,0.1464436,0.00015608,0.0009862649,5.052892e-7,0.006136172,0.01606158,0.001119757,0.01208565,0.8132608,0.001804802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2752942,0.000008907867,0.09824571,0.02434881,0.001978925,0.0009670967,0.00001928314,0.0008996036,0.5982375],"genre_scores_gemma":[0.9681245,0.000001621287,0.002272501,0.02215058,0.00672467,0.000014368,0.0001781208,0.00004851027,0.0004850946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6928303,"threshold_uncertainty_score":0.9999723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745747194381533,"score_gpt":0.2428743731313573,"score_spread":0.215416901187542,"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."}}