{"id":"W2017165978","doi":"10.1371/journal.pone.0093452","title":"Integrating De Novo Transcriptome Assembly and Cloning to Obtain Chicken Ovocleidin-17 Full-Length cDNA","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Fundamental Research Funds for the Central Universities; China Agricultural University","keywords":"Complementary DNA; Biology; Transcriptome; Cloning (programming); Gene; cDNA library; Genetics; Gene expression; Eggshell; RNA-Seq; Genome; Gene expression profiling; Molecular biology","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":[0.0005730546,0.0008318112,0.001188027,0.001061634,0.000652918,0.001012355,0.0005983827,0.0005162538,0.002456504],"category_scores_gemma":[0.0006597045,0.0007595898,0.001547775,0.0009238005,0.0003568701,0.0004284722,0.001014673,0.00174648,0.003029669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005917881,"about_ca_system_score_gemma":0.001459858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003340245,"about_ca_topic_score_gemma":0.007108201,"domain_scores_codex":[0.9995296,0.00002908086,0.00004598539,0.0001869976,0.0001194718,0.0000888682],"domain_scores_gemma":[0.9996783,0.00006663878,0.00004892295,0.00004512542,0.0001066652,0.00005439843],"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":[0.000226001,0.00006374579,0.001907658,0.0005843459,0.00005284389,0.0003164311,0.0002993704,0.001244718,0.9712355,0.0009825063,0.00145203,0.02163495],"study_design_scores_gemma":[0.0001883227,0.000672031,0.04536174,0.000273024,0.0005057588,0.001320256,0.0006895534,0.03429336,0.7561951,0.002174884,0.1581756,0.0001503682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4412412,0.005068092,0.4833136,0.0009366377,0.0007393921,0.002159256,0.04586824,0.006181438,0.01449204],"genre_scores_gemma":[0.2735781,0.004410367,0.5830081,0.0007520008,0.0001407273,0.00221196,0.1145436,0.00257776,0.01877741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003340245,"threshold_uncertainty_score":0.008217871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03671281507717954,"score_gpt":0.218140517692149,"score_spread":0.1814277026149695,"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."}}