{"id":"W2133282596","doi":"10.1007/s00335-001-3021-y","title":"The Jackson toxic milk mouse as a model for copper loading","year":2001,"lang":"en","type":"article","venue":"Mammalian Genome","topic":"Trace Elements in Health","field":"Nursing","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biology; Copper; Human genetics; Genetics; Gene; Metallurgy; Materials science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005446922,0.0002147006,0.0001948078,0.00007923196,0.0007122727,0.0001259872,0.0004141993,0.0001064084,0.00009043605],"category_scores_gemma":[0.0000896874,0.0001797887,0.000107916,0.0001608227,0.00006552439,0.0001302625,0.00005122567,0.0001987763,0.0002971155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003749345,"about_ca_system_score_gemma":0.00005144237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007268626,"about_ca_topic_score_gemma":0.000225931,"domain_scores_codex":[0.9980158,0.00006281298,0.0003807077,0.0003830008,0.0002719335,0.0008857027],"domain_scores_gemma":[0.9989213,0.0001470603,0.0001195871,0.0005672573,0.00006418454,0.0001805744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01205809,0.001753769,0.02566686,0.001390554,0.0005998524,0.000155386,0.04923271,0.05697461,0.3838896,0.02599222,0.1564655,0.2858208],"study_design_scores_gemma":[0.003280295,0.0008853134,0.002088939,0.00005094446,0.0001047104,0.00007712546,0.001443682,0.09347991,0.01020674,0.008476486,0.8789074,0.0009983954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793763,0.0008808419,0.003353683,0.0106091,0.001067804,0.001562211,0.00006190954,0.0002214802,0.002866709],"genre_scores_gemma":[0.9649685,0.00004891381,0.00298851,0.002004072,0.0004160827,0.0001576533,0.00001869193,0.0000943671,0.02930322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.722442,"threshold_uncertainty_score":0.7331572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03617884323229382,"score_gpt":0.3095462623559053,"score_spread":0.2733674191236115,"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."}}