{"id":"W2033507657","doi":"10.1371/journal.pgen.1000537","title":"An Integrated Strategy to Study Muscle Development and Myofilament Structure in Caenorhabditis elegans","year":2009,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Diabetes and Digestive and Kidney Diseases; Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Deutsche Forschungsgemeinschaft; Canadian Institutes of Health Research; Genome Canada","keywords":"Biology; Caenorhabditis elegans; Sarcomere; RNA interference; Myosin; Myofilament; Cell biology; Gene; Phenotype; Gene knockdown; Myocyte; Embryonic stem cell; Genetics; Genetic screen; RNA","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"],"consensus_categories":[],"category_scores_codex":[0.0001056619,0.0002759018,0.0002146707,0.00009263917,0.00009018258,0.00007788908,0.0002707431,0.0001490652,0.00002401085],"category_scores_gemma":[0.00001585971,0.0002792265,0.00002020002,0.0001373688,0.00003007955,0.000004301687,0.00007183358,0.0001400317,0.000003865839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003488213,"about_ca_system_score_gemma":0.0001102209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002049598,"about_ca_topic_score_gemma":0.001169221,"domain_scores_codex":[0.998435,0.00008469079,0.0003247365,0.000569297,0.0002160385,0.0003702313],"domain_scores_gemma":[0.9991846,0.000003675536,0.00005258326,0.0004473278,0.0000935694,0.0002182551],"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":[0.00003415997,0.000868141,0.01433448,0.00001070054,0.0000510177,0.00002202248,0.005011423,0.003433086,0.9333758,0.00000827794,0.00006947223,0.04278145],"study_design_scores_gemma":[0.0008662425,0.003505275,0.1763344,0.00001344225,0.00003560159,0.000008667939,0.001765215,0.000582821,0.8140132,0.0001004502,0.002241743,0.0005329488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980977,0.0003737338,0.0007384159,0.00006292484,0.00006093558,0.0005809938,0.00002533026,0.0000193282,0.00004069094],"genre_scores_gemma":[0.9916204,0.00005624534,0.007582235,0.0004491063,0.00009998315,0.00001455798,0.0001056643,0.00003101123,0.00004077537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1619999,"threshold_uncertainty_score":0.999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278347556647226,"score_gpt":0.2440376950430496,"score_spread":0.2312542194765774,"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."}}