{"id":"W2567147711","doi":"10.1101/096602","title":"Aggregation of biological particles under radial directional guidance","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"Natural Sciences and Engineering Research Council of Canada; Politecnico di Torino","keywords":"Isotropy; Anisotropy; Diffusion; Aggregate (composite); Chemotaxis; Tensor (intrinsic definition); Geometry; Coupling (piping); Adhesion; Deformation (meteorology); Physics; Biological system; Biophysics; Chemistry; Mathematics; Biology; Materials science; Optics; Nanotechnology; Composite material","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":[0.0002751944,0.0003788558,0.0003714026,0.0006640311,0.0006669177,0.0009731905,0.0004025067,0.000946713,0.001398626],"category_scores_gemma":[0.0009644791,0.0002205515,0.0004596786,0.0002279765,0.0009253236,0.0006679596,0.0008607616,0.0004520734,0.000264747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007454057,"about_ca_system_score_gemma":0.000378945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003811661,"about_ca_topic_score_gemma":0.001596389,"domain_scores_codex":[0.999841,0.00002859605,0.000006847198,0.00003232761,0.00004681335,0.00004444317],"domain_scores_gemma":[0.9995282,0.00009259157,0.000132985,0.00004173843,0.00009416626,0.0001104527],"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":[0.0002847856,0.0001797486,0.004702749,0.0001513862,0.00008810576,0.001048525,0.0004114781,0.6529047,0.1560469,0.1659767,0.00510326,0.01310178],"study_design_scores_gemma":[0.00004806428,0.00008541012,0.001506924,0.000008974508,0.00001066781,0.0001250557,0.00007373241,0.9724015,0.006627525,0.01805143,0.001032401,0.00002835893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9031577,0.0004293075,0.07998231,0.0009844117,0.000141933,0.00005372896,0.0001374457,0.0002820654,0.01483113],"genre_scores_gemma":[0.9884028,0.0001253259,0.007019771,0.0001363694,0.0000406528,0.0000168467,0.00007451333,0.00002873695,0.004155101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003811661,"threshold_uncertainty_score":0.007578969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04610242232606677,"score_gpt":0.2704865927583589,"score_spread":0.2243841704322921,"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."}}