{"id":"W2604315831","doi":"10.1016/j.polymertesting.2017.04.008","title":"Automated image analysis to characterize the melt densification stage of polymer sintering processes","year":2017,"lang":"en","type":"article","venue":"Polymer Testing","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Sintering; Bubble; Polymer; Visualization; Melt flow index; Dissolution; Process (computing); Particle size; Composite material; Computer science; Artificial intelligence; Chemical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0002252861,0.0003563812,0.0002328666,0.001379739,0.0002500208,0.0004711818,0.0004476302,0.000290731,0.002034985],"category_scores_gemma":[0.0005044691,0.0002564598,0.0001941222,0.0005234967,0.0001981181,0.0003730774,0.0002355518,0.0003182103,0.0004706793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004353566,"about_ca_system_score_gemma":0.0003918417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001863832,"about_ca_topic_score_gemma":0.004138083,"domain_scores_codex":[0.9997981,0.00002021377,0.000009876001,0.00003290996,0.0001106501,0.00002828021],"domain_scores_gemma":[0.9994333,0.0001718036,0.00007316766,0.00007508029,0.0002306579,0.00001599617],"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":[0.0001801486,0.0001196078,0.003542537,0.0001035987,0.00002904176,0.00005280316,0.00009617662,0.005264624,0.8396391,0.000852059,0.001075274,0.149045],"study_design_scores_gemma":[0.00001748621,0.0001065759,0.01900945,0.00001010894,0.00003046594,0.0001528657,0.00004891662,0.2021924,0.7748638,0.0004116865,0.003132745,0.00002343127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.544732,0.0004074225,0.4440556,0.0001105644,0.00003770414,0.0001772093,0.0007674284,0.004678588,0.0050335],"genre_scores_gemma":[0.7699766,0.0002337304,0.2252099,0.00005490963,0.000026377,0.0001875769,0.0007358369,0.0004302377,0.003144855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002034985,"threshold_uncertainty_score":0.006807745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04660257563746957,"score_gpt":0.2722835332226799,"score_spread":0.2256809575852103,"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."}}