{"id":"W2120368598","doi":"10.1530/rep-10-0477","title":"Comprehensive cross production system assessment of the impact of <i>in vitro</i> microenvironment on the expression of messengers and long non-coding RNAs in the bovine blastocyst","year":2011,"lang":"en","type":"article","venue":"Reproduction","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq; Université Laval; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blastocyst; Biology; Embryo; Gene expression; Gene; In vitro; Microarray; Cell biology; In vivo; Computational biology; In vitro maturation; Genetics; Gene expression profiling; Microarray analysis techniques; Andrology; Oocyte; Embryogenesis","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":[0.0008246212,0.0002892516,0.0006041532,0.000376931,0.0003789944,0.0007444427,0.0002454572,0.0003227945,0.0007880557],"category_scores_gemma":[0.0006136654,0.0001927532,0.0004625985,0.0003194271,0.0002894894,0.0002506428,0.0004742536,0.0004877037,0.0002608068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005772326,"about_ca_system_score_gemma":0.000300165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120295,"about_ca_topic_score_gemma":0.002331066,"domain_scores_codex":[0.9992009,0.0001802528,0.00008467887,0.0002461605,0.0002202204,0.00006774574],"domain_scores_gemma":[0.9994341,0.0002085993,0.0001309878,0.0001026009,0.0000786098,0.00004516864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009005517,0.00003146394,0.001485391,0.00003520657,0.00001849696,0.00001670445,0.00002544727,0.0001930321,0.9963344,0.00001789473,0.00003324563,0.001718596],"study_design_scores_gemma":[0.000006433001,0.001091557,0.04740467,0.00000553004,0.0001026223,0.0001049176,0.00006106996,0.0009810358,0.9488897,0.00002061608,0.001319768,0.00001205209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912964,0.0006012163,0.005364964,0.00004098115,0.00001732513,0.00007727146,0.001529849,0.00005840249,0.001013432],"genre_scores_gemma":[0.9790425,0.0008300641,0.01028157,0.0001215322,0.00001376819,0.0001964406,0.007032516,0.00006898258,0.002412612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001120295,"threshold_uncertainty_score":0.004361033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0328756022743284,"score_gpt":0.3041907784069448,"score_spread":0.2713151761326164,"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."}}