{"id":"W4396709979","doi":"10.11159/csee24","title":"Proceedings of the 9th World Congress on Civil, Structural, and Environmental Engineering","year":2024,"lang":"en","type":"paratext","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Engineering; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001241628,0.00121027,0.0009456709,0.0006003889,0.0002517882,0.0002804703,0.0007658395,0.0003529252,0.0003650747],"category_scores_gemma":[0.00002019404,0.0008871862,0.0003361639,0.0004737597,0.0005071168,0.0004439068,0.0004582515,0.001579636,0.00001776739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003726857,"about_ca_system_score_gemma":0.00001351992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001155641,"about_ca_topic_score_gemma":0.00002284183,"domain_scores_codex":[0.9967674,0.000006373262,0.0009089803,0.0008493552,0.0007984362,0.0006694538],"domain_scores_gemma":[0.9989709,0.00009324498,0.0004141723,0.0002897978,0.00002434965,0.0002075351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005023127,0.000133901,0.008369788,0.01865877,0.004017605,0.00001143123,0.001857632,0.1171321,0.661046,0.0305026,0.1468216,0.01094615],"study_design_scores_gemma":[0.003987529,0.0005956345,0.01822674,0.01792131,0.001744382,0.0007587109,0.002109325,0.207132,0.5452881,0.0009351631,0.1944994,0.006801614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672183,0.004358565,0.000003822183,0.000166333,0.01764366,0.001385245,0.001067155,0.0002510729,0.007905785],"genre_scores_gemma":[0.9785197,0.000975494,0.0001366484,0.00003788773,0.00038406,0.00009224944,0.00004433063,0.0002374027,0.01957216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1157579,"threshold_uncertainty_score":0.9993579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00464622513290687,"score_gpt":0.1813792798704156,"score_spread":0.1767330547375088,"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."}}