{"id":"W6992560994","doi":"","title":"Macrophage iron recycling","year":2009,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Macrophage; Flow cytometry; Hepcidin; Conceptual framework; Gene knockdown; Conceptual model","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":[0.000537801,0.0008700237,0.0004787283,0.0008433668,0.0007960773,0.00127719,0.0007601616,0.001164222,0.01924208],"category_scores_gemma":[0.0005278556,0.0004113431,0.0008515035,0.0004301354,0.0003975241,0.0006797017,0.001013818,0.001732625,0.008794567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113797,"about_ca_system_score_gemma":0.001137407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008964229,"about_ca_topic_score_gemma":0.00128902,"domain_scores_codex":[0.9995998,0.00004946358,0.00002430742,0.00009880603,0.0001751084,0.00005246393],"domain_scores_gemma":[0.9997793,0.00002683678,0.00002239307,0.00003154676,0.0001001548,0.00003978273],"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":[0.0005834369,0.0001435502,0.0006727754,0.002795009,0.00006025112,0.0005703805,0.0004253219,0.00042826,0.5423121,0.02643757,0.2075018,0.2180695],"study_design_scores_gemma":[0.00005045499,0.0001968504,0.002028049,0.0004287742,0.00005544627,0.001144808,0.000091462,0.0004474131,0.1796705,0.003245609,0.812607,0.00003351847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09419243,0.3665959,0.08850853,0.04632201,0.04466239,0.001966592,0.01736981,0.005609579,0.3347728],"genre_scores_gemma":[0.1855251,0.1210396,0.0406793,0.01306203,0.004602412,0.001361841,0.01327939,0.0008323367,0.619618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01924208,"threshold_uncertainty_score":0.06437117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009724840524323175,"score_gpt":0.2208045906580493,"score_spread":0.2110797501337261,"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."}}