{"id":"W32613373","doi":"10.1007/s00520-020-05586-8","title":"做学生的良师益友,成就有价值的教育人生——试论语文教学“双线、齐心、共舞”之原则","year":2011,"lang":"en","type":"article","venue":"文教资料","topic":"Pharmacy and Medical Practices","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Prostate Cancer Canada","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001616949,0.0001622541,0.0001625623,0.0002959219,0.0008990505,0.001121981,0.0005856443,0.0005453757,0.0216396],"category_scores_gemma":[0.004361581,0.00009186967,0.0002004197,0.0001930346,0.000507773,0.001383073,0.001038891,0.0009546089,0.004207681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004937226,"about_ca_system_score_gemma":0.002386811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011292,"about_ca_topic_score_gemma":0.002348016,"domain_scores_codex":[0.9992707,0.0003312927,0.00003678253,0.00006660889,0.0001834599,0.0001111632],"domain_scores_gemma":[0.9965944,0.0007150166,0.0003247529,0.0002165696,0.0006335351,0.001515622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003620887,0.002966952,0.02561887,0.0004688183,0.00002837555,0.0003630044,0.00327887,0.0002804623,0.00617853,0.006339374,0.05270604,0.9014087],"study_design_scores_gemma":[0.000463891,0.010111,0.1696353,0.0008156088,0.0001145899,0.005560322,0.02418667,0.003489482,0.02656229,0.02301624,0.7358031,0.0002415174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5436363,0.001346909,0.09145566,0.02591295,0.00166946,0.003782564,0.0005928368,0.002540237,0.329063],"genre_scores_gemma":[0.861763,0.0009806922,0.06379402,0.003490731,0.0006455078,0.001626193,0.0004351981,0.0001717871,0.06709275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0216396,"threshold_uncertainty_score":0.07239163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5377998472407588,"score_gpt":0.5459661381149455,"score_spread":0.008166290874186743,"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."}}