{"id":"W4412212120","doi":"","title":"Ex Silico:Soft Biomorphs","year":2024,"lang":"en","type":"article","venue":"University of Southern Denmark Research Portal (University of Southern Denmark)","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"In silico; Computer science; Biology; Genetics","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":[0.0003740271,0.0004631882,0.0004238894,0.0003932442,0.0007129938,0.002235137,0.00127658,0.001565181,0.03870116],"category_scores_gemma":[0.001318704,0.0004906298,0.0005737818,0.0003268453,0.00125708,0.002114365,0.001894707,0.001554148,0.008214638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005713236,"about_ca_system_score_gemma":0.0003633548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004499517,"about_ca_topic_score_gemma":0.0004914306,"domain_scores_codex":[0.9997492,0.00004898908,0.00001024804,0.00006091589,0.0001042865,0.00002633964],"domain_scores_gemma":[0.9996661,0.000129357,0.00002364535,0.0001014645,0.00003610409,0.00004335207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002428587,0.0001685763,0.001758459,0.001411423,0.00009282081,0.0009420842,0.0005460824,0.06344836,0.08395199,0.6413136,0.05931062,0.1468131],"study_design_scores_gemma":[0.00009185765,0.0001412608,0.0008909013,0.0002442227,0.00003929698,0.0009164611,0.0002833281,0.1525493,0.04178902,0.2404397,0.562496,0.0001187458],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05726962,0.01120763,0.5655908,0.008660043,0.006007636,0.0002316579,0.003046039,0.01191952,0.3360671],"genre_scores_gemma":[0.6232097,0.009124782,0.2096978,0.00335123,0.0008456131,0.0006446265,0.003195349,0.003064633,0.1468664],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03870116,"threshold_uncertainty_score":0.1294683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260011257843033,"score_gpt":0.2347418963467913,"score_spread":0.208740770562488,"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."}}