{"id":"W2033999014","doi":"10.1186/1748-7161-4-15","title":"Scoliosis: density-equalizing mapping and scientometric analysis","year":2009,"lang":"en","type":"article","venue":"Scoliosis","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scoliosis; Idiopathic scoliosis; Citation; Web of science; Scopus; Medicine; Impact factor; Computer science; Data science; Library science; Operations research; Medical physics; MEDLINE; Political science; Meta-analysis; Mathematics; Pathology; Surgery; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005492027,0.0002979665,0.0007556135,0.005282122,0.0003196546,0.0002031394,0.0001217684,0.0001278922,0.00005318529],"category_scores_gemma":[0.0002345089,0.0002588124,0.0003602466,0.01411819,0.00008182858,0.0002159895,0.00006787686,0.000164686,0.00004419158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002122271,"about_ca_system_score_gemma":0.00006862653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009078537,"about_ca_topic_score_gemma":0.00002082041,"domain_scores_codex":[0.9975948,0.00007157778,0.0004417934,0.0006878775,0.0006371047,0.0005668],"domain_scores_gemma":[0.9986341,0.00005657382,0.0001463906,0.0005199286,0.0001944504,0.000448537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004382948,0.0006210677,0.9873554,0.00005907552,0.001204819,0.00008931034,0.0004963105,0.00001019295,0.0009843861,0.0007689795,0.0005031012,0.007863508],"study_design_scores_gemma":[0.001238522,0.0003443466,0.9896494,0.0004579244,0.002593176,0.00004073716,0.0002393669,0.0003379086,0.004243479,0.0001750016,0.0004180821,0.00026208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857708,0.008085115,0.0002242352,0.002554423,0.00009585581,0.0005378876,0.00000359754,0.0001528701,0.002575181],"genre_scores_gemma":[0.9947897,0.0005437884,0.001257361,0.003116937,0.0001283985,0.00004799071,0.000008038833,0.00001811874,0.00008966683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009018865,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03800529467838167,"score_gpt":0.323572818460461,"score_spread":0.2855675237820794,"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."}}