{"id":"W1974192613","doi":"10.1111/apha.12294","title":"Regions-of-interest: where our readers and authors are from?","year":2014,"lang":"en","type":"editorial","venue":"Acta Physiologica","topic":"Scottish History and National Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Distribution (mathematics); Rest (music); Library science; Situated; Geography; Political science; History; Law; Computer science; Mathematics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.003745938,0.0004318144,0.0006965486,0.001682355,0.001844852,0.01125695,0.00126646,0.00215698,0.05928719],"category_scores_gemma":[0.02796471,0.0003659518,0.0005110399,0.00367037,0.001326041,0.008429375,0.003421554,0.002586565,0.05278171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001966929,"about_ca_system_score_gemma":0.004694712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009687155,"about_ca_topic_score_gemma":0.01457367,"domain_scores_codex":[0.9960319,0.001348092,0.0004732089,0.0005739784,0.0007218995,0.000850887],"domain_scores_gemma":[0.9791212,0.003265703,0.003746254,0.0006663428,0.007986356,0.005214151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001229634,0.00002514449,0.03390404,0.001283752,0.00004853776,0.0008837276,0.006255202,0.00003330611,0.0004882994,0.004024636,0.8336498,0.1192806],"study_design_scores_gemma":[0.00002009376,0.0000468007,0.04422736,0.002059776,0.00005686469,0.002353676,0.01843695,0.00005515832,0.0004516988,0.002943736,0.9292567,0.00009119908],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.04083945,0.1315291,0.00349347,0.601463,0.03641477,0.0002111759,0.02662589,0.001870215,0.1575529],"genre_scores_gemma":[0.4556581,0.1143653,0.00844525,0.228578,0.03358359,0.0005990127,0.01156476,0.004245907,0.14296],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9983177,"threshold_uncertainty_score":0.1983354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08322661756416612,"score_gpt":0.2706693649632713,"score_spread":0.1874427473991052,"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."}}