{"id":"W2954115956","doi":"10.7176/isde/10-5-01","title":"Optimization the Parameters of Hotwire Cutting Process to Enhance the Properties of Polystyrene Foam","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovation, Science and Economic Development Canada","keywords":"Taguchi methods; Orthogonal array; Polystyrene; Design of experiments; Materials science; Process (computing); Expanded polystyrene; Composite material; Noise (video); Statistical analysis; Computer science; Mathematics; Statistics; Polymer; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0009396953,0.0007416762,0.0005284126,0.0006543735,0.0002468619,0.0006071707,0.000416178,0.0004417954,0.001011957],"category_scores_gemma":[0.00119372,0.0002260601,0.0003815192,0.0005582304,0.0002250094,0.0006136374,0.0002532153,0.0004847781,0.0003125368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557878,"about_ca_system_score_gemma":0.0005037166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004877576,"about_ca_topic_score_gemma":0.001141909,"domain_scores_codex":[0.9993922,0.00008855388,0.00006995669,0.00008985341,0.0002914793,0.00006801457],"domain_scores_gemma":[0.9994537,0.0001453417,0.0001654226,0.00003697157,0.0001734951,0.00002508279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002831507,0.0002799723,0.001825599,0.0007729329,0.00002874577,0.0001076236,0.0001203322,0.003474427,0.9622766,0.0002684281,0.0001988985,0.03036332],"study_design_scores_gemma":[0.00002441721,0.001189073,0.006186649,0.00004587186,0.0001069149,0.0001277713,0.0001105355,0.00797327,0.9812605,0.0001348738,0.002806198,0.00003389425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9113792,0.00462605,0.08030824,0.0001087946,0.0000986613,0.0002554929,0.0001788307,0.0002024032,0.00284221],"genre_scores_gemma":[0.9415634,0.002262236,0.05473987,0.00003818675,0.00001774122,0.0001585048,0.0001789658,0.00006174858,0.0009793272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001011957,"threshold_uncertainty_score":0.004969656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00607236893603968,"score_gpt":0.2259937629166587,"score_spread":0.219921393980619,"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."}}