{"id":"W4398164972","doi":"10.1016/j.simpa.2024.100665","title":"LattGen: A TPMS lattice generation tool","year":2024,"lang":"de","type":"article","venue":"Software Impacts","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Computer science; Ranging; Software; Lattice (music); Engineering drawing; Topology (electrical circuits); Computational science; Engineering; Operating system; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002935016,0.0004446792,0.0003012678,0.0002767262,0.0001639813,0.0006176864,0.0002825724,0.0004028359,0.0002935779],"category_scores_gemma":[0.001084631,0.0004329287,0.000175589,0.000368474,0.00008669705,0.0003470367,0.0001795295,0.0007654994,0.003637306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002570438,"about_ca_system_score_gemma":0.0001056461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003323048,"about_ca_topic_score_gemma":0.000005264598,"domain_scores_codex":[0.9981238,0.00004329095,0.0003581812,0.0004937265,0.0002775957,0.0007033877],"domain_scores_gemma":[0.9989068,0.0003135188,0.00004433405,0.0005585984,0.00005300206,0.0001237719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001854013,0.00007561282,0.0007924872,0.002743745,0.001468583,0.0008066146,0.002485542,0.01038096,0.003012094,0.00400999,0.223229,0.7509769],"study_design_scores_gemma":[0.0007205733,0.0004493267,0.01126439,0.003310221,0.0008976399,0.00012603,0.0001991432,0.06095609,0.2299773,0.01207611,0.6770223,0.003000935],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7852891,0.06394235,0.1157738,0.001621102,0.01304814,0.000649017,0.0004650599,0.01801859,0.00119283],"genre_scores_gemma":[0.9834328,0.001339257,0.01224303,0.0001094623,0.001721442,0.00002391727,0.000118158,0.0001507246,0.0008612227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7479759,"threshold_uncertainty_score":0.9998122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02396633817100921,"score_gpt":0.2546810080761637,"score_spread":0.2307146699051545,"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."}}