{"id":"W2560899054","doi":"","title":"Проблемное и проблемно-ориентированное обучениe (problem-based learning): сравнительный анализ","year":2016,"lang":"ru","type":"article","venue":"Сибирский педагогический журнал","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Problem-based learning; General partnership; Identification (biology); Mathematics education; Computer science; Control (management); Management science; Artificial intelligence; Political science; Engineering; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002365175,0.001678228,0.00137096,0.001348706,0.001551636,0.0011088,0.003882399,0.001008992,0.004227336],"category_scores_gemma":[0.000394026,0.001375429,0.00077681,0.003326278,0.0008273562,0.002047888,0.0009930136,0.001476108,0.007531777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000832309,"about_ca_system_score_gemma":0.002518663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002181858,"about_ca_topic_score_gemma":0.0001304045,"domain_scores_codex":[0.988567,0.000787727,0.002351196,0.003189085,0.002375522,0.002729474],"domain_scores_gemma":[0.9907258,0.001587311,0.001393922,0.003264264,0.00200762,0.001021068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002524149,0.004299617,0.01295018,0.0007212416,0.0008169211,0.0002490204,0.00298469,0.001233792,0.01427409,0.5542887,0.1114883,0.296441],"study_design_scores_gemma":[0.00880537,0.002878914,0.03429626,0.003436424,0.0004021613,0.0002229379,0.001725896,0.009846589,0.02063843,0.03523977,0.8759987,0.006508481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2485956,0.01385292,0.2987926,0.3304576,0.01731065,0.004138847,0.0006279253,0.004063428,0.08216039],"genre_scores_gemma":[0.9381725,0.001179322,0.02008945,0.003217958,0.00249579,0.0004052064,0.0001152331,0.0002902696,0.03403433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7645105,"threshold_uncertainty_score":0.9999281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219719924872882,"score_gpt":0.2757685556743166,"score_spread":0.2435713564255878,"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."}}