{"id":"W4255799288","doi":"10.1016/j.mprp.2014.12.010","title":"‘Proactive’ method improves 3D print structures","year":2014,"lang":"en","type":"article","venue":"Metal Powder Report","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lubricant; Government (linguistics); Lubrication; Research council; Technology transfer; Materials science; Engineering; Political science; Business; Mechanical engineering","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":[0.0005894099,0.0009294403,0.0004116556,0.000998051,0.0005824005,0.002100693,0.001836425,0.001320508,0.02158974],"category_scores_gemma":[0.001306133,0.0007294182,0.0004950839,0.0006374926,0.0006826493,0.001572149,0.001242068,0.001265162,0.008402828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005464356,"about_ca_system_score_gemma":0.0005592544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055302,"about_ca_topic_score_gemma":0.002333983,"domain_scores_codex":[0.9987872,0.00006889892,0.00004655834,0.0002232847,0.0007818525,0.00009214693],"domain_scores_gemma":[0.9990323,0.0001979465,0.00008057091,0.0004308753,0.0002183723,0.00003989124],"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":[0.0001547101,0.0003565176,0.00147945,0.0005386728,0.00004284574,0.0004340409,0.0004115241,0.01045584,0.5340677,0.03119283,0.02498394,0.3958819],"study_design_scores_gemma":[0.00006412942,0.0004621607,0.00407176,0.00007556847,0.00007270309,0.001858991,0.000185628,0.08573255,0.707592,0.006164044,0.1935903,0.0001301054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1127608,0.002271815,0.6879676,0.001121718,0.001693664,0.0002171192,0.000605894,0.02473296,0.1686284],"genre_scores_gemma":[0.5366988,0.001194785,0.3918988,0.0008519755,0.0001895548,0.0001423932,0.000920525,0.002892082,0.06521113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02158974,"threshold_uncertainty_score":0.07222486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345059881309914,"score_gpt":0.2509353569106847,"score_spread":0.2374847580975856,"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."}}