{"id":"W4404372922","doi":"10.33395/sinkron.v8i4.13953","title":"Comprehensive Study of Information Technology Strategy Components in Global ICT Companies Utilizing PESTLE and Ansoff Matrix","year":2024,"lang":"en","type":"article","venue":"SinkrOn","topic":"Business and Economic Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Information and Communications Technology; Matrix (chemical analysis); Materials science; Engineering; Regional science; Economic geography; Engineering physics; Computer science; Composite material; Geography; World Wide Web","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":[0.00004902122,0.00007665979,0.0001273842,0.00006242867,0.00003060946,0.00003441698,0.00007771407,0.00003937691,0.00008506484],"category_scores_gemma":[0.000001813151,0.00007231569,0.000007921693,0.000221569,0.00007288637,0.0003098915,0.0001450463,0.00005554388,0.00008312493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001163513,"about_ca_system_score_gemma":0.000007776981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008859947,"about_ca_topic_score_gemma":0.0002642832,"domain_scores_codex":[0.9994606,0.000010508,0.0002143702,0.0001227142,0.00007418294,0.0001176232],"domain_scores_gemma":[0.9998564,0.000009261732,0.00003633964,0.00007578332,0.000004224478,0.00001799823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004914665,0.0002843468,0.8980775,0.0001777842,0.00003805067,0.00001896116,0.003396682,0.009750947,0.001889958,0.001460899,0.0003340753,0.08452166],"study_design_scores_gemma":[0.0003322943,0.00007190771,0.9857565,0.00003112801,0.00000447411,0.000008451079,0.004523908,0.006205154,0.00002984848,0.000496087,0.00245614,0.00008415077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979393,0.0001448534,0.00002206481,0.00008095784,0.000106097,0.0001848251,0.000005945417,0.00003279771,0.001483108],"genre_scores_gemma":[0.9997225,0.00001741684,0.0002201292,0.00001048088,0.000002775813,0.000005511878,0.000006376127,0.000002581819,0.00001216529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08767897,"threshold_uncertainty_score":0.2948948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327802540057227,"score_gpt":0.2557196816629599,"score_spread":0.2324416562623876,"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."}}