{"id":"W4255414511","doi":"10.21203/rs.3.rs-49595/v1","title":"Computational analyses decipher the primordial folding coding the 3D structure of the beetle horn","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Adhesion, Friction, and Surface Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"DECIPHER; Folding (DSP implementation); French horn; Coding (social sciences); Computational biology; Biology; Computer science; Physics; Bioinformatics; Mathematics; Engineering; Acoustics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002140595,0.0003556756,0.0005812337,0.0005671011,0.0004570037,0.0006418359,0.000733402,0.0008672671,0.002225241],"category_scores_gemma":[0.001050052,0.0003483337,0.0004917048,0.0004195397,0.0005534092,0.0005373266,0.0004628347,0.0005414434,0.0001777246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005390363,"about_ca_system_score_gemma":0.0006603241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005886435,"about_ca_topic_score_gemma":0.005048532,"domain_scores_codex":[0.9999381,0.00001171615,0.000003243709,0.0000158062,0.00001382489,0.00001727948],"domain_scores_gemma":[0.9994635,0.0003262007,0.00005478028,0.00006635409,0.00004618711,0.00004297408],"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":[0.00004836282,0.00003850698,0.00192001,0.0000499542,0.00002277837,0.00006830555,0.00002822227,0.9864117,0.005790972,0.002209353,0.0001827181,0.003229106],"study_design_scores_gemma":[0.000003615879,0.000004150522,0.0002793799,0.000001102162,0.00000167255,0.000003695842,0.000005539038,0.9989616,0.0003562102,0.0003296756,0.00005123147,0.000002214689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121605,0.0001239612,0.08256805,0.0002489247,0.00003011056,0.00003186177,0.0003959565,0.0004759487,0.003964725],"genre_scores_gemma":[0.975762,0.00005388334,0.02337722,0.00003290677,0.000007535368,0.00004274789,0.0001917275,0.00007315384,0.0004587183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005886435,"threshold_uncertainty_score":0.01170433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0983070081392026,"score_gpt":0.3992463481435513,"score_spread":0.3009393400043486,"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."}}