{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001572219,0.003731688,0.002254149,0.004760248,0.0015013,0.005572926,0.004346591,0.004641725,0.2442446],"category_scores_gemma":[0.004509771,0.00124954,0.001497497,0.007425248,0.0007899262,0.002525058,0.003751507,0.002470558,0.5493486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001571613,"about_ca_system_score_gemma":0.002229761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170703,"about_ca_topic_score_gemma":0.01495215,"domain_scores_codex":[0.9984612,0.0001873297,0.0001696335,0.0005482624,0.0003603938,0.0002731548],"domain_scores_gemma":[0.9988124,0.0002491043,0.00009288633,0.0004439176,0.0002484708,0.000153198],"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":[0.0001395182,0.00005036067,0.001984799,0.001559314,0.00007113814,0.00005391474,0.00004293288,0.0006796869,0.0008563775,0.0008225679,0.9810355,0.01270383],"study_design_scores_gemma":[0.0001285889,0.00002192087,0.00327242,0.0003426409,0.00002973909,0.00006849413,0.00005882312,0.0007785807,0.0004881095,0.001810197,0.9929637,0.00003677667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001451266,0.0001710434,0.0002918433,0.0001047618,0.00007155878,0.00002201295,0.9951739,0.002098892,0.001920871],"genre_scores_gemma":[0.0002599751,0.0001217203,0.0003929684,0.00005031563,0.000005462166,0.00006578167,0.9977702,0.000171266,0.001162325],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7557554,"threshold_uncertainty_score":0.8170795,"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."}}