{"id":"W4392351791","doi":"10.1101/2024.02.22.581638","title":"Directed biomechanical compressive forces enhance fusion efficiency in model placental trophoblast cultures","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bone fractures and treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; McGill University Health Centre; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Cell fusion; Syncytiotrophoblast; Trophoblast; Fusion; Syncytium; Cell biology; Ultimate tensile strength; Materials science; Biophysics; Placenta; Chemistry; Fetus; Biomedical engineering; Biology; Cell; Medicine; Pregnancy; Composite material; Biochemistry","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":[0.0002611676,0.0002589967,0.0002761126,0.0002295133,0.0002109233,0.0003067972,0.000174257,0.0002691664,0.001029615],"category_scores_gemma":[0.0002449116,0.0001427133,0.0001972653,0.000223196,0.0002235638,0.0001356016,0.0003118315,0.0003062667,0.0001635625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003668063,"about_ca_system_score_gemma":0.0001985928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002790393,"about_ca_topic_score_gemma":0.002462053,"domain_scores_codex":[0.9997872,0.00004475769,0.0000200852,0.00003794788,0.00007924518,0.00003078144],"domain_scores_gemma":[0.9998338,0.0000695122,0.00003331979,0.00002141713,0.00001783324,0.00002396385],"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":[0.0001546991,0.00006862303,0.0006453784,0.00005433361,0.00001014284,0.00009393719,0.0001180758,0.002186535,0.9945999,0.0002656496,0.0001047451,0.001697853],"study_design_scores_gemma":[0.00002517398,0.0006020008,0.004878975,0.00001273902,0.00001632777,0.0001322289,0.0001401034,0.01128127,0.9812992,0.0001576839,0.001444575,0.000009709711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937024,0.0005152543,0.00331596,0.00004930225,0.00001672831,0.00002235543,0.0002451545,0.00002716727,0.002105759],"genre_scores_gemma":[0.9963013,0.0003007011,0.002061376,0.00001648142,0.000003253057,0.00002122271,0.0001751206,0.00001057401,0.001110031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002790393,"threshold_uncertainty_score":0.005548298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009782948762894131,"score_gpt":0.2556099356985388,"score_spread":0.2458269869356447,"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."}}