{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002185086,0.0002318046,0.0002598803,0.002402573,0.0008528185,0.0009566777,0.0002980446,0.0003460775,0.002515147],"category_scores_gemma":[0.006602617,0.000183803,0.0009093328,0.00294671,0.0004005049,0.0009551283,0.0004684921,0.0004626166,0.0002325451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843269,"about_ca_system_score_gemma":0.001837989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01579961,"about_ca_topic_score_gemma":0.01698771,"domain_scores_codex":[0.9976502,0.0007263643,0.0002538755,0.0002229061,0.000820661,0.0003259606],"domain_scores_gemma":[0.9949324,0.002198521,0.0006543529,0.0001304598,0.001611546,0.0004728783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001734739,0.0004487102,0.895193,0.0002417382,0.00007556662,0.0002723193,0.01187722,0.003348007,0.001780982,0.001489999,0.00254792,0.08255104],"study_design_scores_gemma":[0.00002567363,0.0004679346,0.9209614,0.0001092466,0.00007638299,0.0001341418,0.0326971,0.0395024,0.001290113,0.001155474,0.003514672,0.00006537341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956645,0.00003817388,0.001977413,0.0001654082,0.000004568674,0.0001043801,0.0002218101,0.00001055621,0.001813136],"genre_scores_gemma":[0.9966739,0.0001061929,0.001675984,0.00005196876,0.000004445596,0.0001363097,0.0003125283,0.000002827033,0.001035769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01579961,"threshold_uncertainty_score":0.03141528,"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."}}