{"id":"W614910125","doi":"","title":"Special Issue on Advances in Computational Materials Science and Engineering III","year":2004,"lang":"en","type":"article","venue":"Transactions of the Japan Institute of Metals","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Materials science; Science and engineering; Engineering physics; Engineering ethics; Nanotechnology; 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":[0.001844595,0.002018981,0.003080807,0.003137112,0.001410397,0.005435709,0.001877793,0.002226119,0.07625923],"category_scores_gemma":[0.004914608,0.0006221439,0.00147916,0.002551164,0.000741052,0.002370907,0.002212571,0.003158451,0.03001449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261573,"about_ca_system_score_gemma":0.001976891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009178533,"about_ca_topic_score_gemma":0.00205977,"domain_scores_codex":[0.998468,0.000221587,0.0001240271,0.0002909807,0.0007053041,0.0001900159],"domain_scores_gemma":[0.9950773,0.0009872379,0.0002682574,0.000509773,0.002103162,0.001054342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007624862,0.00005808433,0.0001711909,0.000417402,0.00004150795,0.00006511189,0.00001741173,0.000327494,0.0006268892,0.00320386,0.9454446,0.04955015],"study_design_scores_gemma":[0.0000380171,0.00009925081,0.0009211361,0.0003094342,0.00005900476,0.0002206139,0.00002785211,0.001405697,0.0007988904,0.00567872,0.9904196,0.00002179966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001769231,0.05269671,0.008619885,0.02071762,0.840453,0.000230248,0.0008986263,0.0006921323,0.07392245],"genre_scores_gemma":[0.01199338,0.05984749,0.005926346,0.009877966,0.5847971,0.0004076081,0.00375654,0.002113511,0.32128],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07625923,"threshold_uncertainty_score":0.2551125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009500403753262025,"score_gpt":0.222258311550464,"score_spread":0.2127579077972019,"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."}}