{"id":"W4380354361","doi":"10.1117/12.2663359","title":"High-accuracy infrared thermography measurements of polymer additive manufacturing","year":2023,"lang":"en","type":"article","venue":"","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Thermography; Infrared; Materials science; Polymer; Composite material; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.000110348,0.0001892893,0.0002072649,0.0003613361,0.0000551784,0.00001681405,0.0002598149,0.00009399183,0.0003303238],"category_scores_gemma":[0.0000638793,0.0001691217,0.00009514097,0.0002884081,0.00007161676,0.0001052543,0.0001127522,0.0001605581,0.0001162304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001954273,"about_ca_system_score_gemma":0.000005318469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002884988,"about_ca_topic_score_gemma":0.000002307231,"domain_scores_codex":[0.9990581,0.00001628309,0.0002275815,0.0001760724,0.0002114985,0.0003104577],"domain_scores_gemma":[0.999438,0.0001384172,0.00005020405,0.0003093147,0.00002735133,0.0000366402],"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":[0.00005536668,0.00009752907,0.002778276,0.0004468696,0.001779616,0.00003587725,0.001083669,0.00612767,0.1358661,0.002334128,0.06706669,0.7823282],"study_design_scores_gemma":[0.0001753438,0.00001759602,0.02132061,0.00003814894,0.0000109288,6.905845e-7,0.0001467054,0.00007233871,0.975461,0.001514908,0.001052618,0.0001890946],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754695,0.00007340635,0.001437673,0.00004215772,0.0003150316,0.0001462368,0.00006263432,0.004549532,0.01790385],"genre_scores_gemma":[0.9985462,0.00005746277,0.0008548597,0.00001613059,0.00003520595,0.00002995062,0.00003143188,0.00003851718,0.0003902071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.839595,"threshold_uncertainty_score":0.6896582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02411790344409114,"score_gpt":0.2272323313263261,"score_spread":0.203114427882235,"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."}}