{"id":"W3202873261","doi":"10.5430/elr.v10n4p1","title":"Survey on Attitude Towards New Management Mode of Linguistic Landscape Programs in Chinese University Language Resources and its Decision Tree Analysis","year":2021,"lang":"en","type":"article","venue":"English Linguistics Research","topic":"Foreign Language Teaching Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Computer science; Linguistic landscape; Knowledge management; Competence (human resources); Quality (philosophy); Engineering management; Linguistics; Operations research; Engineering; Management","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006886879,0.000144727,0.0003778384,0.0008420947,0.0002698372,0.0001259469,0.0005128863,0.0001413973,0.0000787447],"category_scores_gemma":[0.1249044,0.0001428133,0.00008994031,0.003665355,0.000174385,0.00002502312,0.0003614085,0.0005610936,0.000003177942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001682842,"about_ca_system_score_gemma":0.0002622085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0181632,"about_ca_topic_score_gemma":0.0881836,"domain_scores_codex":[0.9951458,0.002336763,0.0002724194,0.0004915206,0.001262773,0.0004907227],"domain_scores_gemma":[0.995248,0.002192867,0.00007418665,0.0004220479,0.001806954,0.0002560071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006561372,0.0009571603,0.4732496,0.0002716455,0.0006643452,0.001924069,0.4042482,0.001680044,0.00001453134,0.04112185,0.0006645633,0.07454783],"study_design_scores_gemma":[0.003198318,0.0004009506,0.8673379,0.0006214959,0.0003682737,3.489021e-7,0.0827896,0.01134197,0.0001083033,0.005993445,0.026922,0.0009174187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8425881,0.0008907245,0.000339214,0.0000133548,0.0003125588,0.0002950999,0.00004450385,0.00006239487,0.155454],"genre_scores_gemma":[0.9874618,0.0002653662,0.008394109,0.000004735722,0.0006488151,0.000001536796,0.00006608474,0.00001684023,0.003140707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3940882,"threshold_uncertainty_score":0.9883749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08156571280543437,"score_gpt":0.4282281612365297,"score_spread":0.3466624484310953,"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."}}