{"id":"W4312788849","doi":"10.3934/matersci.2022048","title":"Materials for Additive Manufacturing","year":2022,"lang":"en","type":"article","venue":"AIMS Materials Science","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001662449,0.001448716,0.0007262726,0.002893565,0.001564637,0.00517178,0.001347802,0.002335115,0.1459248],"category_scores_gemma":[0.002239324,0.0009145893,0.0009683791,0.001617968,0.0008813828,0.003123845,0.002994088,0.003594753,0.0850044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542948,"about_ca_system_score_gemma":0.001914104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004732783,"about_ca_topic_score_gemma":0.00125488,"domain_scores_codex":[0.9975903,0.0001922192,0.000163903,0.0002437544,0.001626101,0.0001837293],"domain_scores_gemma":[0.9989514,0.000167394,0.00009502308,0.000170394,0.0005005273,0.0001151913],"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":[0.00009357149,0.00008276175,0.0002261734,0.002445469,0.00004028565,0.0002770672,0.0001914601,0.0005784072,0.04523845,0.08760159,0.4289142,0.4343105],"study_design_scores_gemma":[0.000004001489,0.00002236889,0.0001207105,0.0001083082,0.000005001127,0.000135724,0.00002015283,0.0001537262,0.01008335,0.002915643,0.9864218,0.000009232096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00416307,0.09366094,0.04941163,0.01135722,0.06080432,0.0007387099,0.003267973,0.002926123,0.77367],"genre_scores_gemma":[0.04153635,0.06882775,0.05295167,0.006130946,0.007583226,0.0007411278,0.003935278,0.001821328,0.8164724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1459248,"threshold_uncertainty_score":0.488167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138813061608027,"score_gpt":0.227752318966645,"score_spread":0.2138710128058423,"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."}}