{"id":"W2137818241","doi":"10.1242/dmm.005769","title":"Combined zebrafish-yeast chemical-genetic screens reveal gene–copper-nutrition interactions that modulate melanocyte pigmentation","year":2010,"lang":"en","type":"article","venue":"Disease Models & Mechanisms","topic":"Trace Elements in Health","field":"Nursing","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute","funders":"Medical Research Council; Canadian Institutes of Health Research; National Institutes of Health; Medical Research Scotland; Wellcome Trust","keywords":"Zebrafish; ATP7A; Menkes disease; Genetic screen; Biology; Hypopigmentation; Yeast; Gene knockdown; Copper deficiency; Genetics; Model organism; Cell biology; Phenotype; Copper; Gene; Chemistry; Transporter; Copper metabolism","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":[0.0001911016,0.0007806486,0.0004379752,0.0005012555,0.0002632049,0.0003272934,0.0003772203,0.0004141523,0.002018941],"category_scores_gemma":[0.0001790929,0.0002419236,0.0004270542,0.0002707255,0.0004073506,0.0001606714,0.0005179602,0.0005399938,0.0003503068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007062343,"about_ca_system_score_gemma":0.0004546153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002808681,"about_ca_topic_score_gemma":0.006905221,"domain_scores_codex":[0.9997579,0.00002935543,0.0000210373,0.00005394595,0.0001044363,0.00003330237],"domain_scores_gemma":[0.999851,0.00004373752,0.00004770205,0.0000146737,0.00001506724,0.0000279015],"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":[0.00006721048,0.00001259463,0.0001588891,0.00002280208,0.000008225064,0.00008020044,0.00000756599,0.0001632862,0.9984125,0.00009942316,0.00002856127,0.0009386535],"study_design_scores_gemma":[0.00001981742,0.000140638,0.002392247,0.000003853443,0.00002724779,0.0001729673,0.00001769998,0.001232388,0.9949847,0.00004246652,0.0009592758,0.000006537797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775506,0.0009421541,0.01606063,0.0002446879,0.00003697255,0.0001154325,0.001641907,0.0004987477,0.002908936],"genre_scores_gemma":[0.9826874,0.000825659,0.01105978,0.0001125464,0.000004720908,0.0001305705,0.0007873866,0.0001276517,0.00426433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002808681,"threshold_uncertainty_score":0.006753981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02875397198837824,"score_gpt":0.2867177791520277,"score_spread":0.2579638071636494,"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."}}