{"id":"W2737746915","doi":"10.3791/55939","title":"A &lt;em&gt;Caenorhabditis elegans&lt;/em&gt; Nutritional-status Based Copper Aversion Assay","year":2017,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Caenorhabditis elegans; Biology; Mutant; Nematode; Model organism; Caenorhabditis; Ecology; Cell biology; Genetics","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":[0.0005894544,0.0003625074,0.0004815135,0.0001536055,0.0005049681,0.0002797231,0.0006900529,0.0003090915,0.0003304335],"category_scores_gemma":[0.0002770041,0.0003512295,0.0003921733,0.00005211259,0.0001538466,0.00004096632,0.0001948783,0.0002236008,0.00004469941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089789,"about_ca_system_score_gemma":0.0002686971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000163031,"about_ca_topic_score_gemma":0.00001556572,"domain_scores_codex":[0.99736,0.0002154033,0.0006737687,0.0004088335,0.0007926843,0.0005492976],"domain_scores_gemma":[0.9975074,0.00002790985,0.0008675347,0.0007006202,0.000504766,0.0003917719],"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":[0.0005190338,0.0006888452,0.001926473,0.00003133154,0.0002211882,0.00006659112,0.0005171557,0.00005379985,0.9722021,0.00004782344,0.02320909,0.0005165719],"study_design_scores_gemma":[0.007182185,0.001097409,0.005446402,0.000136383,0.0001057469,0.00009092432,0.0002640946,0.000294118,0.8733978,0.0001172581,0.1113625,0.0005051977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873211,0.002814244,0.007163835,0.000260168,0.001209059,0.0002542898,0.00006719468,0.00001411394,0.0008960317],"genre_scores_gemma":[0.989588,0.0008072658,0.007191047,0.0006985331,0.0007844573,0.00001169616,0.0001106868,0.0000674504,0.0007408487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09880432,"threshold_uncertainty_score":0.999894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886545436891827,"score_gpt":0.339558730565474,"score_spread":0.3206932761965557,"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."}}