{"id":"W2167521584","doi":"10.1038/nmeth.1462","title":"Probabilistic density maps to study global endomembrane organization","year":2010,"lang":"en","type":"article","venue":"Nature Methods","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Infrastructures en Biologie Santé et Agronomie; Institute of Molecular and Cell Biology; Fondation pour la Recherche Médicale; Institut national de la recherche scientifique; Centre National de la Recherche Scientifique; Association pour la Recherche sur le Cancer","keywords":"Endomembrane system; Golgi apparatus; Endosome; Cell biology; Micropatterning; Endoplasmic reticulum; Population; Microtubule; Biology; Intracellular; Nanotechnology; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004843514,0.0003121423,0.0003538,0.0005017527,0.0003550498,0.000575272,0.0006025109,0.000707901,0.001566874],"category_scores_gemma":[0.001730417,0.0004259264,0.0003964032,0.0005188264,0.0006428877,0.001234174,0.001020992,0.0007335005,0.0002102733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005051753,"about_ca_system_score_gemma":0.0003655052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328887,"about_ca_topic_score_gemma":0.001402362,"domain_scores_codex":[0.9998913,0.00003849163,0.000003465886,0.00001786546,0.0000367039,0.0000122289],"domain_scores_gemma":[0.9992399,0.0005259468,0.00006620084,0.00007233027,0.00004687962,0.00004865375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007450657,0.0000668948,0.001635205,0.0001220863,0.00009957785,0.0001199902,0.0001003229,0.7036954,0.0182005,0.2549029,0.001714919,0.01926765],"study_design_scores_gemma":[0.000006595631,0.000009548795,0.0004303099,0.000002610152,0.000007351365,0.00002886166,0.00001179482,0.9522902,0.00128783,0.04518608,0.0007308086,0.00000808998],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08454733,0.000624912,0.908016,0.0003855069,0.00005651332,0.0000405589,0.0001986533,0.0002601041,0.005870435],"genre_scores_gemma":[0.900512,0.0006802512,0.09313932,0.0001364707,0.00006820082,0.0001346838,0.0002253985,0.0001437582,0.004960003],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001566874,"threshold_uncertainty_score":0.005241752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00720156965513857,"score_gpt":0.2997903541078423,"score_spread":0.2925887844527038,"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."}}