{"id":"W2014847020","doi":"10.1787/hemp-v15-art21-en","title":"An Integrated Approach to Academic Reinforcement Systems","year":2003,"lang":"en","type":"article","venue":"Higher Education Management","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Reinforcement; Higher education; Psychology; Mathematics education; Sociology; Engineering management; Computer science; Economics; Economic growth; Engineering; Social psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001965023,0.0006538196,0.0006089842,0.001490089,0.0007488417,0.004029823,0.002215582,0.001245177,0.009893466],"category_scores_gemma":[0.003810711,0.0004835581,0.0009358632,0.001624215,0.001073922,0.003292903,0.003536706,0.001596833,0.001844743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729721,"about_ca_system_score_gemma":0.003091295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005127598,"about_ca_topic_score_gemma":0.007148482,"domain_scores_codex":[0.9980552,0.0006142289,0.0001516052,0.0003665723,0.0006229524,0.0001894124],"domain_scores_gemma":[0.9987884,0.0003346551,0.0001010054,0.0002636226,0.000363801,0.0001485776],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001764955,0.0004143392,0.002936141,0.0004135295,0.00023648,0.0003102882,0.001384167,0.1332593,0.006988521,0.3967071,0.007523112,0.4496506],"study_design_scores_gemma":[0.00009022624,0.0003134172,0.001303149,0.0002111624,0.0001885792,0.0002857385,0.0006788861,0.6416478,0.004085883,0.2244597,0.12668,0.00005545028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006727445,0.0004572202,0.9709027,0.0006430466,0.00008795162,0.000175958,0.00009259134,0.001417133,0.0194959],"genre_scores_gemma":[0.248352,0.0007986644,0.7337312,0.0002437062,0.0001087041,0.0004047058,0.0003425547,0.0002060136,0.01581261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.998035,"threshold_uncertainty_score":0.03309697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1498344993487673,"score_gpt":0.4455595936239401,"score_spread":0.2957250942751728,"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."}}