{"id":"W2905493593","doi":"10.4337/9781788119887.00018","title":"Problem-based learning and mainstream economics: post-Keynesian economics to the rescue?","year":2019,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Economic Theory and Institutions","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Mainstream economics; Mainstream; Economics; Keynesian economics; Post-Keynesian economics; Neoclassical economics; Positive economics; Applied economics; Political science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00195922,0.000700238,0.001073142,0.0007021097,0.0006515567,0.002414573,0.001076029,0.000753399,0.0005609487],"category_scores_gemma":[0.0002615394,0.0007488732,0.0004035915,0.00003172839,0.0002626613,0.0009804297,0.0004516307,0.001422878,0.002062274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005562886,"about_ca_system_score_gemma":0.0004534217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002807852,"about_ca_topic_score_gemma":0.001089885,"domain_scores_codex":[0.9964792,0.00003495774,0.001370075,0.001370219,0.00004004034,0.0007055393],"domain_scores_gemma":[0.997355,0.0002160269,0.0009157584,0.001077785,0.00009191687,0.0003435051],"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":[0.00004716478,0.00001167328,0.0002724969,0.00006190282,0.000157066,0.000002664485,0.0003906142,0.001998051,7.094916e-7,0.9841398,0.002812833,0.01010504],"study_design_scores_gemma":[0.0005407759,0.0001423374,0.00009209305,0.0001177587,0.00003014921,0.00001515017,0.00007191229,0.0005251145,0.000008321875,0.09513916,0.9024743,0.0008428611],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006857829,0.0005842843,0.0003006643,0.00495048,0.001744922,0.001150231,0.0009273845,0.0001706085,0.9833136],"genre_scores_gemma":[0.09272078,0.0003807756,0.0022659,0.005911555,0.001732927,0.0001269841,0.0004977305,0.0004095392,0.8959538],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8996615,"threshold_uncertainty_score":0.9994962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697981052719454,"score_gpt":0.1886713893673012,"score_spread":0.1716915788401067,"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."}}