{"id":"W1966521082","doi":"10.3139/217.1728","title":"Measurement and Prediction of Temperature Distribution in an Injection Molding Cavity","year":2003,"lang":"en","type":"article","venue":"International Polymer Processing","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Mold; Thermocouple; Temperature measurement; Molding (decorative); Measure (data warehouse); Composite material; Heat transfer; Cooling curve; Transient (computer programming); Mechanics; Thermodynamics; Metallurgy","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":[0.0003134228,0.0003228631,0.0003016591,0.0003860941,0.0001613726,0.0002710207,0.0003618085,0.0003582436,0.0005975831],"category_scores_gemma":[0.001033798,0.0002646972,0.0001655778,0.0002096211,0.0002775026,0.00037571,0.0001553723,0.0003504697,0.000223865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004055523,"about_ca_system_score_gemma":0.0002683915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008465044,"about_ca_topic_score_gemma":0.0006672611,"domain_scores_codex":[0.9997727,0.00002369311,0.000005769799,0.000056891,0.000121632,0.00001924866],"domain_scores_gemma":[0.9993269,0.0003247625,0.00009637084,0.00008466791,0.0001349765,0.00003233173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000303974,0.00008617756,0.006371587,0.00004715157,0.00000982166,0.00006216598,0.0001091273,0.02241948,0.9400831,0.0002904424,0.0001637604,0.03005327],"study_design_scores_gemma":[0.0000256772,0.000289124,0.01024381,0.000007514412,0.0000122998,0.00007659497,0.0000167082,0.2328985,0.7554598,0.0001265162,0.0008220631,0.00002135612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8230612,0.0001943443,0.1738707,0.00004267168,0.0000262281,0.00005649102,0.0001871683,0.001322209,0.001239014],"genre_scores_gemma":[0.9873012,0.00003975722,0.01216574,0.000004635564,0.000002479855,0.00001924302,0.00004846205,0.00003075351,0.000387708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008465044,"threshold_uncertainty_score":0.002942502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01799227358114841,"score_gpt":0.2274267892739993,"score_spread":0.2094345156928508,"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."}}