{"id":"W3180054616","doi":"10.1115/1.4051720","title":"Challenges and Opportunities in Geometric Modeling of Complex Bio-Inspired Three-Dimensional Objects Designed for Additive Manufacturing","year":2021,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Geometric modeling; Geometric design; Computer Aided Design; CAD; Geometric shape; Software; Computer science; Engineering drawing; Solid modeling; 3D modeling; Computer-aided manufacturing; Geometric data analysis; Engineering; Artificial intelligence; Mechanical engineering; Geometry; Mathematics; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0007207505,0.000186089,0.0005043697,0.0004744055,0.00004133825,0.00001674004,0.0001656542,0.0001545082,0.00001603888],"category_scores_gemma":[0.000451318,0.0001707281,0.0001123102,0.00009480934,0.00003800267,0.000125375,0.00008138711,0.0002727614,3.792497e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005667909,"about_ca_system_score_gemma":0.00005313078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001782479,"about_ca_topic_score_gemma":0.000008258388,"domain_scores_codex":[0.9987165,0.00007686802,0.0005567151,0.0001671348,0.0002298466,0.000252977],"domain_scores_gemma":[0.9985225,0.0009294405,0.0001672218,0.0001319249,0.0001743915,0.00007455616],"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":[0.0003742837,0.0002034633,0.000002432068,0.0005720736,0.0004916373,0.0004129119,0.0003188567,0.2145091,0.03381089,0.003455425,0.0002657868,0.7455831],"study_design_scores_gemma":[0.001105763,0.0003985951,0.0003353634,0.0004487028,0.00005410081,0.0001318123,0.0004646899,0.2732042,0.6905236,0.03301431,0.0000611837,0.0002576084],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2592348,0.004566641,0.7353802,0.0002225565,0.0001666277,0.0002055325,0.00002117443,0.0001043859,0.00009799489],"genre_scores_gemma":[0.9359578,0.001888981,0.06204906,0.00001645166,0.0000460773,0.000008261121,0.000002977497,0.00002671185,0.000003655904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7453255,"threshold_uncertainty_score":0.696209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1505556695670935,"score_gpt":0.2643245631593373,"score_spread":0.1137688935922438,"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."}}