{"id":"W4234744557","doi":"10.1038/npre.2009.3419","title":"Technical Note: The Use of RNA-interference as a Tool to Find Proteins Involved in Melanosome Formation or Transport","year":2009,"lang":"en","type":"preprint","venue":"Nature Precedings","topic":"melanin and skin pigmentation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"National Cancer Institute; Hospital for Sick Children","keywords":"Melanosome; Gene knockdown; Cell biology; RNA interference; Biology; Tyrosinase; Melanocyte; Melanin; Chemistry; Gene; RNA; Biochemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002670815,0.0002337724,0.0002525503,0.0001020172,0.00003060166,0.00003711836,0.0004208485,0.001116766,0.00001920325],"category_scores_gemma":[0.0004130345,0.0001644599,0.0001066805,0.0001458269,0.00003374322,0.00001330061,0.0001754369,0.0008777775,0.000002540758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005392029,"about_ca_system_score_gemma":0.0001351833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004263985,"about_ca_topic_score_gemma":0.0003783536,"domain_scores_codex":[0.9986392,0.00005515306,0.0004452878,0.0004073294,0.0002585449,0.0001944425],"domain_scores_gemma":[0.9991713,0.00002641882,0.0002154868,0.0003997579,0.0001378533,0.00004913682],"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":[0.0009609858,0.00007788021,0.0002418564,0.0001409817,0.00001422582,0.000004000354,0.0006303846,0.0001701852,0.9893779,0.0001484888,0.001980653,0.00625248],"study_design_scores_gemma":[0.0006139282,0.0006160589,0.01046812,0.0006462787,0.00004176662,0.00001560589,0.0000324468,0.0002398057,0.9796826,0.0008999259,0.006368743,0.0003747254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814276,0.0001869976,0.01470712,0.001128137,0.0002448159,0.001902318,0.00006493991,0.00001971712,0.0003183419],"genre_scores_gemma":[0.9869202,0.0001754022,0.01126119,0.0006772974,0.0001249459,0.0001805195,0.0003863031,0.00001715307,0.0002569659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01022627,"threshold_uncertainty_score":0.8613524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02466549615650596,"score_gpt":0.2972212111207946,"score_spread":0.2725557149642887,"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."}}