{"id":"W4391329677","doi":"10.21203/rs.3.rs-3897642/v1","title":"Compliance-based topology optimization of multiple-phase materials related to the scale effect","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Compliance (psychology); Topology optimization; Scale (ratio); Topology (electrical circuits); Phase (matter); Computer science; Engineering; Physics; Psychology; Electrical engineering; Structural engineering; Social psychology; Finite element method","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"],"consensus_categories":[],"category_scores_codex":[0.001474641,0.0003285904,0.0005333754,0.0007134528,0.0001095162,0.00009314368,0.0006257278,0.000545328,0.0005032949],"category_scores_gemma":[0.0005236338,0.0002764645,0.0001185658,0.0007811714,0.0002167106,0.00003137476,0.0006515211,0.001297604,0.0001734699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731088,"about_ca_system_score_gemma":0.0000963963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005229627,"about_ca_topic_score_gemma":0.00001440429,"domain_scores_codex":[0.9974033,0.0004921323,0.0005889434,0.0004673017,0.0004744123,0.0005739228],"domain_scores_gemma":[0.9978415,0.0007800967,0.0000510841,0.0008973069,0.00029916,0.0001308302],"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":[0.00005595738,0.00002818078,0.00007605322,0.002822187,0.00008905905,0.00001205979,0.0002905362,0.9915785,0.003065886,0.0001461115,0.001377561,0.0004578899],"study_design_scores_gemma":[0.0006557884,0.0001961269,0.0000964629,0.001170852,0.00003000133,0.0000046826,0.00004794709,0.9626216,0.03436737,0.0001620614,0.000396499,0.0002505851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5578496,0.004511829,0.4057869,0.003839792,0.01053444,0.009396967,0.00215323,0.002944308,0.002982914],"genre_scores_gemma":[0.9906173,0.00008425588,0.007768454,0.00001040948,0.000140887,0.000714943,0.0003730946,0.000150755,0.0001398763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4327677,"threshold_uncertainty_score":0.9999688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03499966273586651,"score_gpt":0.3704314022842058,"score_spread":0.3354317395483393,"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."}}