{"id":"W2228674671","doi":"10.1091/mbc.e15-05-0312","title":"Big Data in<i>Caenorhabditis elegans</i>:<i>quo vadis</i>?","year":2015,"lang":"en","type":"article","venue":"Molecular Biology of the Cell","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Biology; Caenorhabditis elegans; Caenorhabditis; Status quo; Computational biology; Genetics; Gene; Political science","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":[0.01474079,0.0007455322,0.001156319,0.003360647,0.004511566,0.01156116,0.003178219,0.006921771,0.004750887],"category_scores_gemma":[0.05361406,0.0009906368,0.001090417,0.005367006,0.01001049,0.02786391,0.006391175,0.009882198,0.001667604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004922828,"about_ca_system_score_gemma":0.004702173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01444522,"about_ca_topic_score_gemma":0.01360929,"domain_scores_codex":[0.9919174,0.003003207,0.0005591435,0.001260496,0.002834515,0.0004252674],"domain_scores_gemma":[0.9660196,0.0235187,0.001324299,0.002755701,0.003701286,0.002680419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001587809,0.00002740044,0.003166492,0.0009277156,0.00008567216,0.0003450612,0.001373247,0.001630529,0.0006354185,0.340663,0.5638562,0.08713041],"study_design_scores_gemma":[0.00003860999,0.00004047577,0.00317705,0.001947708,0.00004021583,0.0002676238,0.001173506,0.004592391,0.0006240929,0.4038236,0.5841022,0.0001726857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005237855,0.06222105,0.04774065,0.8368517,0.02122993,0.0001228942,0.003295107,0.001479204,0.02182159],"genre_scores_gemma":[0.2095388,0.141422,0.1300623,0.4252162,0.05290296,0.001526776,0.009572825,0.002241776,0.02751641],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01474079,"threshold_uncertainty_score":0.07795769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746774998565785,"score_gpt":0.2496999166649908,"score_spread":0.2222321666793329,"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."}}