{"id":"W4224319819","doi":"10.1038/s41467-022-29395-1","title":"Direct sound printing","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sound (geography); Computer science; Acoustics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001556925,0.0004953425,0.0003042673,0.0005628805,0.000222874,0.0006194793,0.0004533975,0.0005565775,0.01771256],"category_scores_gemma":[0.000358411,0.0003706819,0.0004471999,0.0002923267,0.0002844266,0.0004022862,0.0006221431,0.0006634482,0.007933114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001986053,"about_ca_system_score_gemma":0.0001565357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001459259,"about_ca_topic_score_gemma":0.0003607159,"domain_scores_codex":[0.9995951,0.00001234573,0.00002514414,0.0001205044,0.0002178885,0.00002899567],"domain_scores_gemma":[0.9997384,0.00006942229,0.00003005499,0.00009277034,0.00005125004,0.00001817272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003211213,0.00003202931,0.0001659977,0.0002963163,0.00001101638,0.0002562334,0.00006328482,0.0004623737,0.9304565,0.002098396,0.003031235,0.06309449],"study_design_scores_gemma":[0.00001081553,0.00009354259,0.0006158187,0.00001524918,0.00001400294,0.0007190178,0.00001481043,0.002172355,0.9455568,0.0004297886,0.0503441,0.00001368914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2574149,0.006889298,0.4273457,0.0006332601,0.002242581,0.0006324462,0.004415812,0.01400043,0.2864255],"genre_scores_gemma":[0.6601905,0.003494018,0.1901689,0.000493393,0.0001981906,0.0003064366,0.002296138,0.001046243,0.1418062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01771256,"threshold_uncertainty_score":0.05925441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083620267918743,"score_gpt":0.2622773472759841,"score_spread":0.2414411445967966,"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."}}