{"id":"W4388960569","doi":"10.20944/preprints202311.1526.v1","title":"Copper in Gynecological Diseases","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Trace Elements in Health","field":"Nursing","cited_by":4,"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":"Crosstalk; Metastasis; Angiogenesis; Micronutrient; Cancer research; Diabetes mellitus; Enzyme; Reactive oxygen species; Dual role; Cell growth; Medicine; Cancer; Bioinformatics; Biology; Chemistry; Cell biology; Internal medicine; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003196317,0.000275621,0.0004285917,0.000929084,0.0004488204,0.0007353717,0.000227281,0.0009047174,0.006397692],"category_scores_gemma":[0.001197509,0.0001023153,0.0003880005,0.001264047,0.0004585491,0.0002914028,0.0007290964,0.0008238849,0.001428314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008876392,"about_ca_system_score_gemma":0.001175384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004067508,"about_ca_topic_score_gemma":0.003089263,"domain_scores_codex":[0.9997639,0.00007639838,0.00002212262,0.00004076694,0.00005307594,0.00004375398],"domain_scores_gemma":[0.9997968,0.00005692151,0.00004152818,0.00001405577,0.00004637379,0.00004443858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008671334,0.0001688417,0.04387195,0.006266989,0.0002583234,0.00897104,0.001575329,0.000499744,0.006507633,0.02855243,0.1522461,0.7502144],"study_design_scores_gemma":[0.00008137643,0.0002418261,0.08439141,0.004130885,0.00021514,0.02557304,0.001219161,0.0001948929,0.00146367,0.02921004,0.8532368,0.00004177127],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02836205,0.8955286,0.001128483,0.02727233,0.002620299,0.00004598321,0.001044544,0.0001083278,0.0438894],"genre_scores_gemma":[0.294542,0.659818,0.003117914,0.00777761,0.005495143,0.00009021015,0.001947837,0.00009555645,0.02711565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006397692,"threshold_uncertainty_score":0.02140242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2408000728363234,"score_gpt":0.4302813728467142,"score_spread":0.1894813000103908,"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."}}