{"id":"W4408602143","doi":"10.1117/12.3042390","title":"Building with volumetric additive manufacturing","year":2025,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Process engineering; Manufacturing engineering; Engineering","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":[0.0008535478,0.001056249,0.0006006332,0.001173117,0.0005077723,0.002261003,0.001463412,0.0008721448,0.006953305],"category_scores_gemma":[0.002205054,0.0007859692,0.00107877,0.000920589,0.001247835,0.001481784,0.003358666,0.001096602,0.002664005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005488223,"about_ca_system_score_gemma":0.0005464001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007281719,"about_ca_topic_score_gemma":0.001061782,"domain_scores_codex":[0.9987621,0.0001787267,0.00004623611,0.0001886224,0.0007215989,0.0001026505],"domain_scores_gemma":[0.9986003,0.0004227299,0.00008962147,0.0006506011,0.0001808673,0.00005593941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001440585,0.0001371276,0.001668075,0.0009625452,0.0001356806,0.0007553159,0.0006127243,0.2209594,0.1438929,0.175254,0.009355017,0.4461232],"study_design_scores_gemma":[0.00004564625,0.0004410195,0.00127627,0.0002518344,0.0001081181,0.002010631,0.0002460429,0.4324348,0.1909047,0.1143019,0.2577801,0.0001988602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008601965,0.0005497243,0.9702214,0.0001485024,0.0001317947,0.0000720625,0.0001446776,0.003194511,0.01693531],"genre_scores_gemma":[0.203091,0.0009627639,0.7867107,0.0002424719,0.00007217404,0.000200616,0.0003926732,0.0008790895,0.007448526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006953305,"threshold_uncertainty_score":0.02326113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00582479441933812,"score_gpt":0.2075729482558144,"score_spread":0.2017481538364763,"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."}}