{"id":"W2489697271","doi":"10.4018/978-1-4666-3930-0.ch003","title":"LMS Implementation in Startup Institutions","year":2013,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Implementation; Developing country; Sustainability; Selection (genetic algorithm); Computer science; Engineering management; Process management; Business; Engineering; Economic growth; Software engineering; Economics","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":[0.004157239,0.0002573166,0.0002289311,0.001053872,0.00257556,0.007499177,0.00141664,0.001422651,0.009339415],"category_scores_gemma":[0.006699933,0.000217555,0.0002790204,0.001766708,0.001272206,0.003467853,0.005173105,0.001890754,0.002012977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004384422,"about_ca_system_score_gemma":0.004092907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001897736,"about_ca_topic_score_gemma":0.004891495,"domain_scores_codex":[0.996058,0.002019801,0.0001797364,0.0003035035,0.0007217914,0.000717111],"domain_scores_gemma":[0.9952753,0.001685107,0.0004222227,0.0002657405,0.0009324495,0.001419133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001625122,0.0005830203,0.04160662,0.001287738,0.00003880985,0.003819978,0.1723908,0.001222238,0.008359511,0.04637072,0.02132599,0.702832],"study_design_scores_gemma":[0.00002633872,0.0009584437,0.09077955,0.002256359,0.00005980649,0.001470635,0.1853172,0.001276044,0.01443375,0.004475926,0.6987849,0.0001609898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8255781,0.007843574,0.01004392,0.005626663,0.0002975636,0.0002418835,0.0001474331,0.000630346,0.1495905],"genre_scores_gemma":[0.9282942,0.005193738,0.006732378,0.0006711374,0.00006892492,0.0001275852,0.0001803068,0.0001623567,0.05856931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009339415,"threshold_uncertainty_score":0.03181142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751960172090706,"score_gpt":0.306657761915593,"score_spread":0.279138160194686,"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."}}