{"id":"W4389914501","doi":"10.3390/ijms242417578","title":"Copper in Gynecological Diseases","year":2023,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Trace Elements in Health","field":"Nursing","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Agencia Nacional de Promoción Científica y Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas; Government of Canada; Health Canada; Ovarian Cancer Canada; Universidad Nacional de San Luis","keywords":"Metastasis; Angiogenesis; Crosstalk; Micronutrient; Cancer research; Reactive oxygen species; Diabetes mellitus; Cell growth; Medicine; Copper deficiency; Enzyme; Dual role; Bioinformatics; Cancer; Biology; Chemistry; Cell biology; Copper; Biochemistry; Internal medicine; Endocrinology; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007006395,0.00005438702,0.00009660659,0.0004147123,0.00004294576,0.00006528444,0.000614691,0.00002487093,0.00007024672],"category_scores_gemma":[0.0005569617,0.00004259972,0.00006044086,0.0003839649,0.000134269,0.000201808,0.00005722663,0.000120553,0.00003070414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042883,"about_ca_system_score_gemma":0.00008007836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001151462,"about_ca_topic_score_gemma":0.00001142636,"domain_scores_codex":[0.9984452,0.00008849666,0.0003210289,0.0001118823,0.0008566267,0.0001768004],"domain_scores_gemma":[0.999409,0.0001970962,0.0001603934,0.00004502961,0.0001257378,0.0000628123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002634361,0.0004960586,0.8634175,0.00001346317,0.00006661138,0.002129392,0.0008748107,0.01790922,0.01642812,0.005005966,0.009636492,0.08375891],"study_design_scores_gemma":[0.001247887,0.0007485966,0.9690046,0.0001365579,0.00001304469,0.0001549678,0.0007605516,0.001605025,0.005927886,0.01345346,0.006773833,0.0001736088],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848441,0.0001910563,0.00006579333,0.01131257,0.003023394,0.00004542475,0.000003971083,0.00001566586,0.000497966],"genre_scores_gemma":[0.9980274,0.00003133205,0.0008441037,0.0009640706,0.0001143744,0.000001486252,9.031767e-7,0.000003634249,0.00001266456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1055871,"threshold_uncertainty_score":0.1737166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03424726807871645,"score_gpt":0.3831675008442167,"score_spread":0.3489202327655003,"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."}}