{"id":"W7132641250","doi":"","title":"Assessing the impact of moisture on powder based additive manufacturing processes","year":2023,"lang":"en","type":"other","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moisture; Manufacturing process; Water content; Process (computing); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002898838,0.0005090187,0.0005065328,0.001551262,0.0006342608,0.002191674,0.001366875,0.001239985,0.03241524],"category_scores_gemma":[0.009782213,0.0002388783,0.000604648,0.0008321203,0.0003543387,0.001404444,0.001205253,0.00057599,0.01030718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008828953,"about_ca_system_score_gemma":0.00135475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003488888,"about_ca_topic_score_gemma":0.005636066,"domain_scores_codex":[0.9935744,0.0007021192,0.0001502258,0.0003454737,0.004985806,0.0002420242],"domain_scores_gemma":[0.9922581,0.001991301,0.0007738934,0.0005843426,0.00415581,0.0002364405],"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":[0.004007134,0.001570552,0.03345608,0.003859018,0.0003705392,0.001012091,0.000311009,0.009242017,0.2519245,0.002819934,0.04952972,0.6418974],"study_design_scores_gemma":[0.0002293945,0.004773888,0.09868326,0.0004338691,0.0005275895,0.0004465292,0.0009774343,0.02783316,0.6898456,0.002385481,0.1736903,0.0001734794],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7081729,0.005295791,0.01725894,0.001760795,0.001628227,0.001700487,0.009994625,0.002319845,0.2518684],"genre_scores_gemma":[0.8900288,0.002755488,0.01837474,0.0004711016,0.0001939553,0.0002969069,0.005448552,0.001066458,0.08136398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03241524,"threshold_uncertainty_score":0.1084398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02513709677181718,"score_gpt":0.3268337992550471,"score_spread":0.3016967024832299,"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."}}