{"id":"W2034851030","doi":"10.4171/owr/2014/19","title":"Mini-Workshop: Mathematical Models for Cancer Cell Migration","year":2015,"lang":"en","type":"article","venue":"Oberwolfach Reports","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computational biology; Biology","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":[0.00152632,0.001680839,0.00120581,0.0009844922,0.0005687187,0.001740544,0.002400309,0.002771392,0.0226701],"category_scores_gemma":[0.003166923,0.0004126954,0.003015447,0.0008565551,0.0008804431,0.002332294,0.002023345,0.00359448,0.01153028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290366,"about_ca_system_score_gemma":0.001012356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009737859,"about_ca_topic_score_gemma":0.0007110037,"domain_scores_codex":[0.9991183,0.0003012576,0.00005302219,0.0001657097,0.0002619988,0.00009978886],"domain_scores_gemma":[0.9982035,0.0007658484,0.00008245964,0.0001643027,0.0005354477,0.0002483844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001707309,0.0001758917,0.0005626507,0.001638268,0.0002512518,0.0004807778,0.000264524,0.0390029,0.004509036,0.2011022,0.6635599,0.08828183],"study_design_scores_gemma":[0.00005574363,0.0002139566,0.001253131,0.0006015581,0.0001291735,0.0006318754,0.0001106831,0.08953741,0.002132654,0.2159896,0.6892454,0.00009884476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01752703,0.1839451,0.434524,0.07325264,0.1439117,0.0003674114,0.003225856,0.001754128,0.1414921],"genre_scores_gemma":[0.2148189,0.1433122,0.1157515,0.014946,0.1437613,0.00148415,0.008788347,0.002927201,0.3542103],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0226701,"threshold_uncertainty_score":0.07583898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1268741432722795,"score_gpt":0.3468684657201433,"score_spread":0.2199943224478638,"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."}}