{"id":"W3162045020","doi":"10.3892/ijo.2021.5223","title":"Anti-Müllerian hormone concentration regulates activin receptor-like kinase-2/3 expression levels with opposing effects on ovarian cancer cell survival","year":2021,"lang":"en","type":"article","venue":"International Journal of Oncology","topic":"Metabolism, Diabetes, and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Inserm Transfert; Direction Générale de l’offre de Soins; Leids Universitair Medisch Centrum; Centre National de la Recherche Scientifique; Institut National Du Cancer; Universiteit Leiden; Institute of Genetics; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche; Massachusetts General Hospital","keywords":"Biology; Ovarian cancer; Receptor; Anti-Müllerian hormone; Internal medicine; Cancer research; Endocrinology; Cancer; Hormone; Medicine; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007603371,0.0001346521,0.0001474934,0.0001692253,0.00009052669,0.0002241083,0.00008672339,0.000164357,0.0009872251],"category_scores_gemma":[0.00009046904,0.0001080749,0.000181939,0.0001499751,0.000157763,0.000139004,0.00009142214,0.0003580671,0.000203655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002116019,"about_ca_system_score_gemma":0.0001825214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006585986,"about_ca_topic_score_gemma":0.001068012,"domain_scores_codex":[0.9998925,0.00001489644,0.000008456709,0.00001744107,0.00002653871,0.0000401129],"domain_scores_gemma":[0.999944,0.00001144031,0.00001524647,0.000004844068,0.00001107193,0.00001343345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001842654,0.00002443888,0.0006844962,0.00002763136,0.000003597516,0.00002866887,0.00002300406,0.0000250244,0.9978795,0.00003856844,0.00003776536,0.001043093],"study_design_scores_gemma":[0.00003062667,0.0004743979,0.04081277,0.000005765941,0.00002195827,0.0001690571,0.0001406887,0.0009427784,0.9548105,0.00005237515,0.002533505,0.000005544798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969597,0.00133442,0.0003730184,0.00005970538,0.00001849257,0.000009945052,0.0001528039,0.00002258374,0.00106939],"genre_scores_gemma":[0.9968379,0.0008230675,0.0005326793,0.00007092203,0.000009269205,0.0000281969,0.0002498199,0.000006052157,0.001442191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009872251,"threshold_uncertainty_score":0.003302634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409436512231335,"score_gpt":0.2897528366253294,"score_spread":0.275658471503016,"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."}}