{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003018781,0.00026816,0.0001400827,0.0002212701,0.0001099014,0.0001938537,0.0002506186,0.0002572418,0.0007375287],"category_scores_gemma":[0.0006880984,0.0001521611,0.0001476883,0.00007020256,0.000215656,0.0003156508,0.0001571399,0.0002086687,0.0001356188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001252634,"about_ca_system_score_gemma":0.0001943569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001984665,"about_ca_topic_score_gemma":0.0002665559,"domain_scores_codex":[0.9998478,0.00001312265,0.00001014344,0.00002840628,0.00008356222,0.00001704937],"domain_scores_gemma":[0.9993989,0.0002400421,0.0001226745,0.0000803555,0.0001098947,0.0000480397],"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":[0.00006267809,0.00003657128,0.0004992593,0.00004802306,0.000003241966,0.0001154607,0.00003326539,0.0007587367,0.9928439,0.0002279805,0.00002381798,0.005346927],"study_design_scores_gemma":[0.00001279728,0.0005459584,0.001567411,0.000007804317,0.000009545931,0.0001045478,0.00001326092,0.004480818,0.992417,0.00003459053,0.0008017827,0.000004527021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642191,0.0003428746,0.03396831,0.00004439052,0.00004060626,0.000108324,0.00004397733,0.0001936324,0.001038813],"genre_scores_gemma":[0.9715757,0.0001052504,0.02745276,0.00001327269,0.000005101554,0.00002896347,0.00004117081,0.00001483926,0.0007628814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007375287,"threshold_uncertainty_score":0.002467215,"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."}}