{"id":"W7132300641","doi":"","title":"Towards the design of additive-manufacturing-ready conformal cooling channels through topology optimization","year":2023,"lang":"en","type":"other","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Design for manufacturability; Network topology; Topology (electrical circuits); Conformal map; Topology optimization; Molding (decorative); Bottleneck; Casting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004754816,0.0008834705,0.0006630035,0.00062758,0.0002247834,0.0008311416,0.0006614499,0.0006475291,0.001913038],"category_scores_gemma":[0.001147734,0.0004853868,0.0007805861,0.0004192097,0.0005917363,0.0006628857,0.0007484605,0.0007817065,0.0005548986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005737987,"about_ca_system_score_gemma":0.000774589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006973545,"about_ca_topic_score_gemma":0.0008721224,"domain_scores_codex":[0.999752,0.00006720381,0.000008045501,0.00003872676,0.00009816629,0.00003575981],"domain_scores_gemma":[0.9996069,0.00020349,0.0000504743,0.00003521158,0.0000773053,0.00002661029],"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":[0.00001951313,0.00003214648,0.0003794569,0.0001661051,0.00002379179,0.000076023,0.00004502745,0.9341952,0.01147128,0.01820394,0.001017578,0.03436998],"study_design_scores_gemma":[0.000009740032,0.00005308531,0.0001276689,0.00001513734,0.00001078658,0.0000487849,0.00002260907,0.9871058,0.002230257,0.006859276,0.003511172,0.000005672675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02769865,0.0006777486,0.9625438,0.000169228,0.00003949853,0.00005903989,0.00006599881,0.000263688,0.008482341],"genre_scores_gemma":[0.4769461,0.0015008,0.5151945,0.0001380279,0.00006065011,0.0003274675,0.0003035812,0.0003402291,0.005188488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001913038,"threshold_uncertainty_score":0.006399751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05394096993284465,"score_gpt":0.2889692358243294,"score_spread":0.2350282658914848,"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."}}