{"id":"W4407757742","doi":"10.5430/ijhe.v14n1p60","title":"Forecasting University Funding: A Non-Linear Approach","year":2025,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002056872,0.00006789946,0.0001290906,0.0009916878,0.0001171557,0.000202042,0.001620978,0.00004758068,0.0002159383],"category_scores_gemma":[0.0008107667,0.00005183453,0.0001149312,0.0008341629,0.00008993215,0.0008006124,0.0001182402,0.0002713238,0.00002833656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002370998,"about_ca_system_score_gemma":0.0008611386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000026674,"about_ca_topic_score_gemma":0.000001200158,"domain_scores_codex":[0.9976682,0.00009411428,0.0004417802,0.0001849067,0.001471612,0.0001393819],"domain_scores_gemma":[0.997283,0.0004097111,0.0004097504,0.0001319506,0.001664181,0.0001013366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004708866,0.00105064,0.2410328,0.00001681459,0.0002540125,0.00004610535,0.002229058,0.003425121,0.003010646,0.08310471,0.3954748,0.2698843],"study_design_scores_gemma":[0.0007988146,0.00005977126,0.1962743,0.0001396785,0.00002191245,0.00008856667,0.00350637,0.01237273,0.000550808,0.04316645,0.7428584,0.0001622629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7369209,0.0002983763,0.02789559,0.01587919,0.01076215,0.0001417414,0.000005803538,0.00001142425,0.2080849],"genre_scores_gemma":[0.9394144,0.00001585122,0.003792237,0.0003003408,0.0006382964,4.151268e-7,0.000001653469,0.000002556525,0.05583419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3473835,"threshold_uncertainty_score":0.3012208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1671814027036818,"score_gpt":0.4587007012321061,"score_spread":0.2915192985284243,"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."}}