{"id":"W7116071591","doi":"10.18280/i2m.240504","title":"Investigation of Temperature Parameters in PETG Additive Printing","year":2025,"lang":"","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Temperature measurement; Work (physics); Process (computing); Component (thermodynamics); Measure (data warehouse)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007660317,0.0004501145,0.0005905185,0.0009581109,0.0001166626,0.00008109274,0.0004382898,0.000572923,0.00004380223],"category_scores_gemma":[0.001001356,0.0004878569,0.0001496587,0.001031525,0.0004210031,0.0003227379,0.0002199769,0.0009973114,0.00001175694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003304769,"about_ca_system_score_gemma":0.0001635501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009036309,"about_ca_topic_score_gemma":0.00003916508,"domain_scores_codex":[0.9972631,0.0002920106,0.001065933,0.0005764582,0.0002706273,0.0005319028],"domain_scores_gemma":[0.9983985,0.0006223895,0.000360991,0.0004399149,0.000132547,0.00004560523],"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":[0.0003951581,0.0001556064,0.3948693,0.002168773,0.001286251,0.00005833115,0.005502099,0.06464827,0.07929636,0.0128982,0.002770887,0.4359508],"study_design_scores_gemma":[0.001069858,0.0001062848,0.3012137,0.0007150641,0.00006987131,0.00000187163,0.002189121,0.00157406,0.6837039,0.008908218,0.0001262712,0.0003218256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937699,0.0002841421,0.001069249,0.001173788,0.0009575927,0.0006226278,0.00008334902,0.0004355129,0.00160383],"genre_scores_gemma":[0.9888335,0.0003355025,0.0103863,0.0001248354,0.00002876316,0.000093462,0.00008292281,0.00002881736,0.00008582083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6044075,"threshold_uncertainty_score":0.9997573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966848939176218,"score_gpt":0.2582395756637987,"score_spread":0.2385710862720365,"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."}}