{"id":"W2023244841","doi":"10.1016/j.crvi.2004.06.005","title":"Intermediate filament networks: in vitro and in vivo assembly models","year":2004,"lang":"en","type":"article","venue":"Comptes Rendus Biologies","topic":"Skin and Cellular Biology Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Protein filament; In vitro; Intermediate filament; Cytokeratin; In vivo; Molecular biology; Biology; Physics; Humanities; Cell biology; Chemistry; Art; Genetics; Cytoskeleton; Cell; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003197049,0.0007675568,0.0004892129,0.0005206222,0.0003171714,0.001127946,0.001395519,0.001731554,0.001588264],"category_scores_gemma":[0.0008965454,0.0004373271,0.0008777233,0.0003205916,0.0006907485,0.001317983,0.0008552219,0.0009621429,0.0004721588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008512942,"about_ca_system_score_gemma":0.0003290463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002445524,"about_ca_topic_score_gemma":0.001225816,"domain_scores_codex":[0.9997212,0.00007024893,0.00001674632,0.00006433457,0.00008021486,0.00004719907],"domain_scores_gemma":[0.9996396,0.00009684357,0.0001131956,0.00004827735,0.00005262231,0.00004933707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004179364,0.00009130893,0.0009709524,0.00009986742,0.00003824749,0.0003470494,0.0002188162,0.7003104,0.03498914,0.2564293,0.0009664092,0.005496709],"study_design_scores_gemma":[0.00001006665,0.00003622546,0.0005127559,0.000007439091,0.0000187899,0.0001260569,0.00001651469,0.9714512,0.002426069,0.02241592,0.002963821,0.00001519838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1607532,0.002280732,0.8046159,0.0011451,0.0002273341,0.00007769481,0.000473041,0.0003039613,0.03012299],"genre_scores_gemma":[0.8955943,0.003801501,0.07233662,0.0002644894,0.0003499321,0.0002794253,0.0008334726,0.0001104386,0.02642971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002445524,"threshold_uncertainty_score":0.006176531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238879493286738,"score_gpt":0.2736949857085304,"score_spread":0.2498070363798566,"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."}}