{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001011857,0.0004972712,0.0007487618,0.0003609175,0.0001258363,0.00003487242,0.001061749,0.0006512281,0.001960692],"category_scores_gemma":[0.002205846,0.0005222505,0.0002413948,0.0002975404,0.0001570129,0.000094374,0.003041096,0.002031091,0.007590529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009612541,"about_ca_system_score_gemma":0.0001873518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006872193,"about_ca_topic_score_gemma":0.000454543,"domain_scores_codex":[0.9952527,0.0005283648,0.0009911201,0.001688914,0.0005990768,0.0009398534],"domain_scores_gemma":[0.9968457,0.0006854523,0.0003391644,0.001754108,0.0000830002,0.0002926216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000147024,0.0004576991,0.9937222,0.0004026079,0.00004028314,0.00006139451,0.000517717,0.0017781,0.0001378886,0.0001105705,0.001482184,0.00114232],"study_design_scores_gemma":[0.0005629194,0.00003975381,0.9862394,0.0003214656,0.00005252262,0.00000211761,0.0001101714,0.000145742,0.0008680333,0.006204563,0.004979192,0.0004741533],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825245,0.0001650331,0.000007493473,0.005092084,0.006887896,0.001644241,0.0001331274,0.0009967916,0.002548865],"genre_scores_gemma":[0.9965503,0.000121456,0.0002211952,0.0006676695,0.0004336713,0.0006619159,0.0001383485,0.0001205087,0.001084932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01402584,"threshold_uncertainty_score":0.9997229,"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."}}