{"id":"W4239529350","doi":"10.33423/jabe.v22i12.3883","title":"Size Matters: Completing the Jigsaw for Rural and Regional Productivity. Exploring the Concept of Heatmapping for Evidencing the Non-Teaching Interactions and Impact of Smaller and Specialist Universities and Colleges in the United Kingdom","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jigsaw; Productivity; Order (exchange); Measure (data warehouse); Regional science; Mathematics education; Political science; Economic growth; Psychology; Sociology; Business; Economics; Computer science; Finance; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01394997,0.0005699511,0.0004730891,0.001853225,0.004699543,0.007696853,0.0009542952,0.001493051,0.01338545],"category_scores_gemma":[0.07244895,0.0004540304,0.0005734928,0.003444279,0.006519274,0.01037909,0.004597398,0.003138052,0.003093206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006044505,"about_ca_system_score_gemma":0.01383831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03894997,"about_ca_topic_score_gemma":0.07074457,"domain_scores_codex":[0.9925251,0.004027497,0.0004370803,0.0006733241,0.001623981,0.0007129991],"domain_scores_gemma":[0.9570546,0.01853001,0.004182329,0.005270211,0.009121302,0.00584167],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001932983,0.00007998484,0.04732402,0.001530208,0.0001475138,0.0002733112,0.03067542,0.001766916,0.002742163,0.1509235,0.3116269,0.4527168],"study_design_scores_gemma":[0.00003978888,0.0003693177,0.1326809,0.001812578,0.00009522335,0.0002616392,0.0719133,0.001056457,0.00213782,0.1221931,0.6672885,0.000151411],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1537434,0.01811894,0.04301414,0.6726743,0.006184272,0.0005909783,0.001891037,0.0009765847,0.1028063],"genre_scores_gemma":[0.876333,0.007881954,0.04805056,0.02727426,0.001207675,0.0005713874,0.0008727894,0.001068766,0.03673972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.98605,"threshold_uncertainty_score":0.07744652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1396948283953903,"score_gpt":0.3357417784729764,"score_spread":0.1960469500775862,"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."}}