{"id":"W4400077993","doi":"10.61838/kman.jrmde.3.2.6","title":"Decision-Making Strategies in the Allocation of Educational Resources","year":2024,"lang":"en","type":"article","venue":"Journal of Resource Management and Decision Engineering","topic":"Global Educational Reforms and Inequalities","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Memorial University of Newfoundland","funders":"","keywords":"Resource allocation; Computer science; Management science; Operations research; Economics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.06900456,0.001281517,0.0009806004,0.004276496,0.006622134,0.01768554,0.003842245,0.003955259,0.004983402],"category_scores_gemma":[0.0609926,0.0008940665,0.001462216,0.003501661,0.01424958,0.01198998,0.01055852,0.003753605,0.0007138226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0118729,"about_ca_system_score_gemma":0.02163859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003861821,"about_ca_topic_score_gemma":0.005609488,"domain_scores_codex":[0.9048697,0.07175144,0.003878475,0.003462745,0.009069914,0.00696776],"domain_scores_gemma":[0.9433712,0.0437918,0.004141629,0.001638839,0.003821398,0.003235178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003725049,0.0005306339,0.01806921,0.001952014,0.0003575624,0.00203472,0.1117335,0.02143105,0.004822932,0.617573,0.005568075,0.2155547],"study_design_scores_gemma":[0.0001562237,0.000355217,0.008557546,0.002879462,0.0001889231,0.0005431004,0.1613237,0.01902487,0.00532555,0.673049,0.1282715,0.0003247928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4323887,0.005386231,0.301755,0.03637719,0.0005108739,0.003055057,0.0002314015,0.0002339682,0.2200616],"genre_scores_gemma":[0.9215268,0.001346514,0.07062674,0.001023903,0.00004722551,0.00071106,0.00007531259,0.00005447175,0.004587935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06900456,"threshold_uncertainty_score":0.3649353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206194311473965,"score_gpt":0.3149399042751023,"score_spread":0.3028779611603626,"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."}}