{"id":"W2103944712","doi":"10.5539/jel.v4n3p25","title":"Path Analysis on the Factors Influencing Learning Outcome for Hospitality Interns–From the Flow Theory Perspective","year":2015,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Flow Experience in Various Fields","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internship; Outcome (game theory); Psychology; Supervisor; Hospitality; Curriculum; Process (computing); Perspective (graphical); Hospitality industry; Mathematics education; Medical education; Applied psychology; Knowledge management; Pedagogy; Computer science; Management; Medicine; Artificial intelligence","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":[0.006916519,0.0007736639,0.0004766923,0.002510528,0.0008681436,0.001361554,0.0004881288,0.0005220511,0.009877318],"category_scores_gemma":[0.01958787,0.0002458591,0.001424253,0.001793502,0.0007271061,0.001555654,0.001272282,0.001537068,0.0003610675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197885,"about_ca_system_score_gemma":0.004939883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004101661,"about_ca_topic_score_gemma":0.003163156,"domain_scores_codex":[0.997658,0.001307944,0.0001535955,0.0002359188,0.0003329128,0.0003117008],"domain_scores_gemma":[0.9809513,0.01375089,0.002126384,0.0003536446,0.002016738,0.0008010532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006491879,0.001037302,0.8730437,0.0004245987,0.0004281497,0.0003771591,0.006469555,0.004953604,0.0008689297,0.008745394,0.002442403,0.10056],"study_design_scores_gemma":[0.0002134849,0.002926064,0.9160034,0.0004501233,0.000658238,0.0003766323,0.01528791,0.04164748,0.002052198,0.01381068,0.006435515,0.0001382727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724886,0.0001792512,0.02031468,0.001014224,0.00007090709,0.000879996,0.0009512214,0.0001002816,0.00400069],"genre_scores_gemma":[0.9860747,0.0002149545,0.01067286,0.00006168897,0.0000102479,0.0009896546,0.0007388165,0.00001947725,0.001217554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009877318,"threshold_uncertainty_score":0.03657854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04932582654336082,"score_gpt":0.3842685390888675,"score_spread":0.3349427125455067,"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."}}