{"id":"W7037168433","doi":"","title":"Data explained: productivity differences within Northern Ireland","year":2024,"lang":"en","type":"other","venue":"Research Portal (Queen's University Belfast)","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Economic and Social Research Council","keywords":"Productivity; Production (economics); Work (physics); Measure (data warehouse); Population","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":[0.00160748,0.0005685352,0.0006620182,0.001864326,0.0004387817,0.001848745,0.0013339,0.0005662237,0.04280573],"category_scores_gemma":[0.01174026,0.0004119478,0.0009862088,0.004539227,0.0005298402,0.001151618,0.002056855,0.001167301,0.01923787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004217338,"about_ca_system_score_gemma":0.004201944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4763747,"about_ca_topic_score_gemma":0.3803426,"domain_scores_codex":[0.9976198,0.0004208839,0.0001751356,0.0006250113,0.000509278,0.0006498284],"domain_scores_gemma":[0.9942569,0.001586271,0.0008620637,0.00109912,0.00173122,0.0004645485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001727887,0.0001419596,0.5550064,0.0005913846,0.0004273844,0.0005014578,0.002232515,0.009348818,0.0009374222,0.004426277,0.3129104,0.1117481],"study_design_scores_gemma":[0.00006043057,0.00004581297,0.9061053,0.000131639,0.0000754101,0.0001181822,0.002884394,0.002939129,0.0008830525,0.0007741814,0.08591996,0.00006249314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5053087,0.0009873058,0.003750082,0.003014615,0.0004334917,0.0001364634,0.3929025,0.001371397,0.0920954],"genre_scores_gemma":[0.7425367,0.0003110826,0.001090096,0.0003520919,0.00009534577,0.0002113646,0.1438612,0.0007660521,0.110776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4763747,"threshold_uncertainty_score":0.9472038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04652704849178943,"score_gpt":0.2950832198978682,"score_spread":0.2485561714060788,"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."}}