{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002183003,0.0004032968,0.0003275529,0.0002289147,0.0003820491,0.0001430348,0.0003565359,0.0001548305,0.0002004405],"category_scores_gemma":[0.00003895071,0.0004554507,0.0001967124,0.0002273554,0.00006696913,0.0006901326,0.0001023778,0.0005261473,0.00009837773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002532002,"about_ca_system_score_gemma":0.00006818268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001110489,"about_ca_topic_score_gemma":0.00006496502,"domain_scores_codex":[0.9971074,0.0001481425,0.0005546621,0.0007868293,0.0007097918,0.0006931601],"domain_scores_gemma":[0.9980627,0.00005592423,0.0002620902,0.0007925379,0.000162793,0.0006639918],"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":[0.001642041,0.001442435,0.0002785783,0.000240184,0.00008637521,0.00003204285,0.0005019286,0.001868109,0.9758174,0.006950247,0.001680151,0.00946054],"study_design_scores_gemma":[0.005478238,0.000315377,0.00630396,0.0003062891,0.0005390044,0.00002873649,0.0003195486,0.2175077,0.5839189,0.1838826,0.000259274,0.001140361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9337938,0.00007642982,0.05802316,0.00242437,0.002949995,0.00163561,0.0004972746,0.0004372041,0.0001621298],"genre_scores_gemma":[0.9617977,0.00001829903,0.0354589,0.000976645,0.000330056,0.0003926296,0.0008133427,0.0001183012,0.00009418437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3918985,"threshold_uncertainty_score":0.9997897,"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."}}