{"id":"W2101558620","doi":"10.1139/p09-036","title":"Target finding time for microtubules in a confined geometry","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Microtubule and mitosis dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microtubule; Physics; Cell cortex; Steady state (chemistry); Geometry; Instability; Distribution (mathematics); Biophysics; Shape change; Polymerization; Cell; Mechanics; Biology; Cell biology; Mathematical analysis; Polymer; Cytoskeleton; Nuclear magnetic resonance; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001148657,0.0001213934,0.0001838177,0.0002281449,0.0003995356,0.0002937938,0.0002936611,0.000297174,0.001766496],"category_scores_gemma":[0.0007937322,0.0001205127,0.0001717095,0.0001667016,0.0003010776,0.0005329156,0.0003126632,0.00034805,0.0002682712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005353267,"about_ca_system_score_gemma":0.0004440514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007805951,"about_ca_topic_score_gemma":0.0007433635,"domain_scores_codex":[0.9999079,0.000005096653,0.000003334958,0.00003107953,0.00003162811,0.00002108386],"domain_scores_gemma":[0.9996299,0.0001143627,0.00009173984,0.00003291365,0.00006800389,0.00006301904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002772129,0.00007961976,0.002104948,0.00009660432,0.00002661833,0.0004256362,0.000326336,0.02662385,0.9315403,0.02266234,0.0003322153,0.01550424],"study_design_scores_gemma":[0.00004758748,0.001143901,0.01216186,0.00001830711,0.00006320125,0.0009193794,0.0002421822,0.1774756,0.7952701,0.009075121,0.003486951,0.00009579257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760247,0.0002717809,0.02052635,0.00005206278,0.00001328179,0.00001160603,0.00003285808,0.00009661874,0.002970836],"genre_scores_gemma":[0.9961656,0.0001304105,0.00187803,0.00001201707,0.000004327026,0.00001521037,0.00005077707,0.0000184341,0.001725246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001766496,"threshold_uncertainty_score":0.005909562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00718855578190787,"score_gpt":0.2219388142102172,"score_spread":0.2147502584283094,"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."}}