{"id":"W4231313784","doi":"10.1122/1.5093033.1","title":"10.1122/1.5093033.1","year":2019,"lang":"en","type":"dataset","venue":"Default Digital Object Group","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint-Gobain (Canada)","funders":"","keywords":"Nozzle; Wetting; Materials science; Contact angle; Rheometer; Composite material; Line (geometry); Mechanical engineering; Mechanics; Engineering drawing; Engineering; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008137681,0.0006968926,0.0006293819,0.0003414005,0.00006590407,0.0004078186,0.000949202,0.000706198,0.00118497],"category_scores_gemma":[0.0002278762,0.0006701124,0.0002726371,0.0002149139,0.0001144543,0.0003106616,0.000438602,0.0009386755,0.02359555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351499,"about_ca_system_score_gemma":0.0000195339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001644744,"about_ca_topic_score_gemma":0.000008409704,"domain_scores_codex":[0.9980153,0.00001294663,0.0003999513,0.0005594302,0.0003584205,0.0006539273],"domain_scores_gemma":[0.9983392,0.0002059223,0.00010712,0.001222104,0.00003755972,0.0000880926],"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":[0.000008459067,0.00003019909,0.000001827848,0.0002938287,0.0001277663,0.00004888769,0.000004406195,0.0001542572,0.000003059546,0.000005420166,0.9850231,0.01429879],"study_design_scores_gemma":[0.0002119091,0.0001162343,0.00005248398,0.0001505964,0.00003861363,0.00002527054,0.00002162816,0.00008193882,0.0004029238,0.0001697979,0.9979223,0.000806277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005379696,0.000298572,0.0001068443,0.000009872912,0.0008438013,0.0002765819,0.9817811,0.002057836,0.01408741],"genre_scores_gemma":[0.01059464,0.00008894457,0.00005731854,0.00002590262,0.0002809893,0.0000488867,0.985297,0.0001134198,0.003492917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02241058,"threshold_uncertainty_score":0.9997281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189634990967895,"score_gpt":0.2180547212788988,"score_spread":0.2061583713692199,"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."}}