{"id":"W4402645795","doi":"10.18280/rces.110303","title":"Design and Implementation of Precision Teaching Mode Based on Big Data Technology","year":2024,"lang":"en","type":"article","venue":"Review of Computer Engineering Studies","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Undergraduate Education; Shandong Jianzhu University; Division of Graduate Education; Natural Science Foundation of Shandong Province","keywords":"Big data; Mode (computer interface); Computer science; Mathematics education; Engineering management; Data science; Engineering; Human–computer interaction; Psychology; Data mining","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":[0.002300267,0.0004788502,0.0004811639,0.001197528,0.0008370127,0.001989819,0.001728061,0.0008619624,0.004105921],"category_scores_gemma":[0.003513173,0.0004242524,0.0005557995,0.0006979573,0.0006561392,0.00240614,0.001437871,0.0008328334,0.0009528968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001091356,"about_ca_system_score_gemma":0.003764246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979549,"about_ca_topic_score_gemma":0.001277643,"domain_scores_codex":[0.9981132,0.0005734242,0.0001224518,0.000344277,0.0006170293,0.0002296285],"domain_scores_gemma":[0.9978809,0.000565949,0.0001972586,0.0002858898,0.0006813257,0.0003886741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007959611,0.001794451,0.019707,0.001339199,0.0001298603,0.0004789861,0.004702815,0.03260944,0.057476,0.04476959,0.008843637,0.8273531],"study_design_scores_gemma":[0.0008514635,0.003792536,0.02969934,0.0005647629,0.0004005918,0.0008443923,0.004332949,0.665641,0.1336337,0.03441753,0.1254976,0.0003241216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06355767,0.0002837347,0.9199911,0.0006594252,0.000123294,0.001467746,0.0001129327,0.003241531,0.01056247],"genre_scores_gemma":[0.4964055,0.0004292672,0.4931856,0.0002008592,0.00005577574,0.001972193,0.0001851625,0.0001712692,0.007394415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004105921,"threshold_uncertainty_score":0.01373571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08623322571459427,"score_gpt":0.4086614742760724,"score_spread":0.3224282485614781,"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."}}