{"id":"W1997929211","doi":"10.1002/pen.22062","title":"Feasibility study of thin microinjection molded components","year":2011,"lang":"en","type":"article","venue":"Polymer Engineering and Science","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of Calgary","funders":"University of Toronto","keywords":"Materials science; Linear low-density polyethylene; Composite material; Molding (decorative); Linear density; Shrinkage; Miniaturization; Melt flow index; Composite number; Viscosity; Polyethylene; Polymer; Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001954083,0.00008318476,0.00009631478,0.0001316164,0.00007386958,0.00001830387,0.000108677,0.00001976915,0.000008345668],"category_scores_gemma":[0.00001110802,0.00007420744,0.00001211556,0.0002763585,0.00006153973,0.0001608954,0.00002695666,0.00007219378,0.000001204597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001720825,"about_ca_system_score_gemma":0.000007179547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002369491,"about_ca_topic_score_gemma":0.000003486061,"domain_scores_codex":[0.9994512,0.000004885089,0.0001315459,0.0001393741,0.000127269,0.0001457607],"domain_scores_gemma":[0.9997786,0.000006361156,0.00001474459,0.0001217961,0.00002987073,0.00004868359],"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":[0.00002896478,0.0002412117,0.03470427,0.0002097737,0.00003152232,0.000002041589,0.0216212,0.0295513,0.9110408,0.0002529486,0.000009755357,0.002306247],"study_design_scores_gemma":[0.0003975532,0.0002224235,0.1427632,0.00003987216,0.00001527705,0.00001778381,0.0007683317,0.1716685,0.6838117,0.0000202243,0.00001382014,0.0002613124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978732,0.0004241152,0.0007551472,0.000001119627,0.0003328743,0.00007942945,8.388542e-7,0.0001420391,0.0003911671],"genre_scores_gemma":[0.9997059,0.000009008932,0.0002326684,0.000002084146,0.00001060856,0.000005051593,1.130812e-7,0.000008183116,0.00002638546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.227229,"threshold_uncertainty_score":0.3026092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04282324575445747,"score_gpt":0.2209482126816519,"score_spread":0.1781249669271945,"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."}}