{"id":"W4321749181","doi":"10.1097/ypg.0000000000000338","title":"Emerging trends in gene and bipolar disorder research: a bibliometric analysis and network visualisation","year":2023,"lang":"en","type":"review","venue":"Psychiatric Genetics","topic":"Bipolar Disorder and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bipolar disorder; Scopus; Bibliometrics; Mental health; Psychiatric genetics; Library science; Psychiatry; Psychology; MEDLINE; Political science; Mood; Computer science; Schizophrenia (object-oriented programming)","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","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.001080851,0.0004139139,0.001558637,0.1374519,0.0001727233,0.00007958363,0.0001197039,0.0003620849,0.00003313943],"category_scores_gemma":[0.00004762072,0.00034592,0.0003446802,0.3229259,0.00007469572,0.00002716088,0.0001663025,0.0005475545,0.0000178732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008277629,"about_ca_system_score_gemma":0.0001188643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000316196,"about_ca_topic_score_gemma":0.0009612297,"domain_scores_codex":[0.9968923,0.0003657167,0.0007635346,0.0007687203,0.0005939049,0.0006158068],"domain_scores_gemma":[0.9987296,0.0002443428,0.000198228,0.0005010992,0.00008697148,0.0002397481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000541229,0.0001337034,0.1753731,0.002404418,0.001114107,0.000005472096,0.00006503845,0.000006998857,2.396125e-8,0.00001076984,0.0001377592,0.8207432],"study_design_scores_gemma":[0.0007772603,0.0002780143,0.2950152,0.0004477132,0.01100217,0.00002763379,0.00003207762,0.0003444149,4.210233e-8,0.0001089259,0.6916317,0.0003348696],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002060846,0.9967585,0.0001158061,0.0000907307,0.0001593093,0.0006402689,0.0000469628,0.00004605288,0.00008150166],"genre_scores_gemma":[0.0005488726,0.9967046,0.001435961,0.000008405961,0.00030469,0.0001114438,0.0005388554,0.00009328638,0.0002539168],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8204083,"threshold_uncertainty_score":0.9998993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202101614153767,"score_gpt":0.4418797456175067,"score_spread":0.32166958420213,"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."}}