{"id":"W4416057582","doi":"10.2139/ssrn.5723351","title":"HierT2S: Hierarchical Structure Modeling for Enhanced Part-Level Text-to-Shape Generation","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Representation (politics); Exploit; Consistency (knowledge bases); Hierarchical database model; Tree structure; Graph; Tree (set theory); Data structure","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":[0.0006769374,0.00197886,0.001145556,0.001915871,0.0006415212,0.002318577,0.003435509,0.002171698,0.03561597],"category_scores_gemma":[0.003127678,0.001316521,0.002800337,0.001578074,0.0005371957,0.001761286,0.002530128,0.001836358,0.01366613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008347593,"about_ca_system_score_gemma":0.001035817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003773678,"about_ca_topic_score_gemma":0.007532359,"domain_scores_codex":[0.9993279,0.00006673103,0.0000464766,0.0001506159,0.0003459764,0.00006231433],"domain_scores_gemma":[0.9991038,0.0003104058,0.00005252509,0.0002902386,0.0001819642,0.00006102286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008634791,0.0001919087,0.001539933,0.0008791047,0.0002707002,0.0007644823,0.0003909158,0.1378612,0.06673996,0.02132795,0.1129779,0.6561925],"study_design_scores_gemma":[0.00007184086,0.00008542044,0.0003958731,0.00003251099,0.00004046826,0.000244342,0.00003708017,0.9206975,0.03649719,0.01279409,0.0290599,0.00004382557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003905247,0.0001561176,0.9140986,0.000100332,0.0001346203,0.0001379088,0.003151516,0.07618105,0.002134668],"genre_scores_gemma":[0.1035547,0.0002673214,0.8552537,0.0002464193,0.00009836419,0.0003955548,0.01463532,0.01733992,0.008208715],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03561597,"threshold_uncertainty_score":0.1191472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02718710187908047,"score_gpt":0.2670478690019238,"score_spread":0.2398607671228434,"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."}}