{"id":"W2790515660","doi":"10.1177/0950422218761500","title":"Theory, practice and policy","year":2018,"lang":"en","type":"article","venue":"Industry and Higher Education","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Scottish Funding Council","keywords":"Boosting (machine learning); Higher education; Economics; Policy analysis; Political science; Regional science; Public economics; Business; Accounting; Public administration; Sociology; Economic growth","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":[0.02189076,0.0008189622,0.00104824,0.003385948,0.004990119,0.02127539,0.002414936,0.01078481,0.01180459],"category_scores_gemma":[0.030056,0.0005324711,0.0005685908,0.004587501,0.0426177,0.01205099,0.006953456,0.006323217,0.002603892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0188411,"about_ca_system_score_gemma":0.02825719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009382501,"about_ca_topic_score_gemma":0.006018043,"domain_scores_codex":[0.9826937,0.01077928,0.0007370026,0.002094792,0.002204122,0.001491095],"domain_scores_gemma":[0.9750081,0.01584995,0.001720005,0.002653577,0.003014138,0.001754224],"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":[0.00000657138,0.00002534311,0.0003557484,0.0002350215,0.00000684137,0.00005754809,0.001526896,0.0005149438,0.00003076986,0.9789094,0.008977088,0.009353797],"study_design_scores_gemma":[0.00001707679,0.0000280161,0.0004794624,0.001693686,0.000007903976,0.00007722873,0.005036321,0.0006126148,0.0001117268,0.7505346,0.2413846,0.00001677933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01038967,0.03578506,0.03149042,0.3871037,0.0020637,0.0002905606,0.0002671462,0.0001087365,0.532501],"genre_scores_gemma":[0.8298288,0.03919877,0.0356953,0.04634171,0.002142965,0.001145577,0.0003211525,0.0001235398,0.04520211],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02189076,"threshold_uncertainty_score":0.1367024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0257148860081149,"score_gpt":0.3896528546100682,"score_spread":0.3639379686019533,"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."}}