{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000976607,0.0003432001,0.000585878,0.0008288993,0.0004422153,0.00004332864,0.001021956,0.0003050938,0.008787836],"category_scores_gemma":[0.00006102378,0.0004283489,0.0004614174,0.001236416,0.001472726,0.0002510659,0.0004958255,0.0007160653,0.00377363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001382918,"about_ca_system_score_gemma":0.0001788965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002016779,"about_ca_topic_score_gemma":0.01191289,"domain_scores_codex":[0.9971343,0.0001937831,0.0002621411,0.0005971598,0.001053794,0.000758795],"domain_scores_gemma":[0.9982044,0.0003991977,0.00008020047,0.0006235919,0.0003807915,0.0003118709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.003165462,0.001753605,0.2550687,0.01085841,0.01016875,0.01062438,0.3792017,0.002841095,0.04310758,0.003419779,0.1672115,0.1125791],"study_design_scores_gemma":[0.002712195,0.0004410598,0.01035097,0.001071771,0.0004789812,0.00005047472,0.8833251,0.01271678,0.000509914,0.001526137,0.08523102,0.001585611],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506512,0.002215298,0.001168885,0.0002424842,0.0001658415,0.000422055,0.001893206,0.0003159748,0.042925],"genre_scores_gemma":[0.9824552,0.0002216755,0.0003203496,0.000001950214,0.0000554895,1.201769e-7,0.00003239848,0.00005813571,0.01685471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5041234,"threshold_uncertainty_score":0.9998168,"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."}}