{"id":"W4390126953","doi":"10.5539/hes.v14n1p8","title":"Supply Chain Management for Pre-Teacher Preparation of Higher Education in Thailand Model","year":2023,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Mongkut's University of Technology North Bangkok","keywords":"Analytics; Big data; Supply chain management; Supply chain; Higher education; Learning analytics; Computer science; Knowledge management; Business; Data science; Engineering management; Engineering; Marketing; Political science","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":[0.001020184,0.0005465226,0.0002765484,0.001263222,0.001347876,0.003870382,0.001127427,0.001017533,0.01275278],"category_scores_gemma":[0.001936974,0.0003723989,0.0007205671,0.002589584,0.0007145583,0.003917951,0.001464572,0.001295332,0.001279331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003525208,"about_ca_system_score_gemma":0.006859839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03644622,"about_ca_topic_score_gemma":0.03434999,"domain_scores_codex":[0.9991642,0.0002611158,0.00005849086,0.0001777839,0.0001811258,0.0001572033],"domain_scores_gemma":[0.9988295,0.0003155752,0.000146367,0.00008456284,0.0004643608,0.0001596374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002466926,0.0003263602,0.02640518,0.000360089,0.00009504048,0.001303336,0.001753636,0.7166654,0.001779533,0.1754722,0.009579448,0.06601304],"study_design_scores_gemma":[0.00003195045,0.0001089012,0.003411188,0.00007985713,0.00003693297,0.0001690177,0.001496066,0.9398539,0.0008275727,0.04054533,0.01339437,0.00004490585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2660263,0.0008333567,0.5791952,0.006822874,0.000203137,0.001352031,0.003600774,0.0009550829,0.1410112],"genre_scores_gemma":[0.9083917,0.0008971507,0.06029818,0.0001248466,0.00003568131,0.0005020537,0.001554792,0.00005032273,0.02814512],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03644622,"threshold_uncertainty_score":0.07246816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1049598962517367,"score_gpt":0.4009026807116852,"score_spread":0.2959427844599485,"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."}}