{"id":"W2290256917","doi":"10.5539/jms.v6n1p163","title":"Factors Affecting the Adoption of Ict on Project Planning in the Nigerian Food and Beverage Industry","year":2016,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Business Strategies and Innovation","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Business; Marketing; Beverage industry; Investment (military); Descriptive statistics; Computer science; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001740656,0.0001710983,0.000110652,0.0008014617,0.0006975456,0.001541641,0.0002373746,0.0003038418,0.00141993],"category_scores_gemma":[0.009727722,0.000262556,0.00017238,0.000870457,0.0005168636,0.0007092499,0.0007734424,0.000589572,0.0001271565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090267,"about_ca_system_score_gemma":0.002423207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007014412,"about_ca_topic_score_gemma":0.0101762,"domain_scores_codex":[0.9982728,0.0007466872,0.0001720894,0.00009512565,0.000371656,0.0003416634],"domain_scores_gemma":[0.9887319,0.005269466,0.003620516,0.0002039199,0.001109111,0.001065127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000112878,0.0004791328,0.8946401,0.000268432,0.00003297675,0.002088151,0.02614767,0.001615127,0.004391911,0.0008257304,0.0003846822,0.06901328],"study_design_scores_gemma":[0.000004296007,0.0002161499,0.9310495,0.0002063835,0.00001958196,0.0005340566,0.06171849,0.001199556,0.0007912489,0.0001753767,0.004061685,0.00002369734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997763,0.00009693807,0.0001831888,0.0001397613,0.000001798249,0.00002417897,0.000007951654,0.000001994535,0.001781171],"genre_scores_gemma":[0.998886,0.000286373,0.0003948301,0.00001811517,0.000001443686,0.00001042001,0.00001289937,0.000001131811,0.0003888145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007014412,"threshold_uncertainty_score":0.01394719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03223364657275238,"score_gpt":0.2621629266895464,"score_spread":0.229929280116794,"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."}}