{"id":"W4225575528","doi":"10.31963/sinergi.v19i2.3387","title":"Rancang Bangun Mesin Injeksi Plastik dengan Sistem Penekan Pneumatik","year":2021,"lang":"en","type":"article","venue":"Jurnal Teknik Mesin Sinergi","topic":"Engineering and Technology Innovations","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Husky Injection Molding Systems (Canada)","funders":"","keywords":"Pressing; Pneumatic cylinder; Injection molding machine; Waste management; Plastic bag; Environmental science; Materials science; Bar (unit); Lever; Process engineering; Cylinder; Mechanical engineering; Engineering; Composite material; Mold; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002004353,0.0003456159,0.0004018556,0.0003255943,0.0001642015,0.00009772385,0.0002816838,0.0002769215,0.00008066512],"category_scores_gemma":[0.0001872388,0.0003662688,0.0001360239,0.001124669,0.00005809013,0.0001977358,0.00006252111,0.0006660343,0.00009160416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156322,"about_ca_system_score_gemma":0.00008555393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006260047,"about_ca_topic_score_gemma":0.00003889089,"domain_scores_codex":[0.9983194,0.00003932474,0.0005507002,0.0003048634,0.0002876237,0.0004980506],"domain_scores_gemma":[0.9989826,0.0001342731,0.00006909448,0.0005106325,0.0001760351,0.0001273536],"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":[0.0000249797,0.0002727578,0.003017844,0.0006184716,0.0008568607,0.001203341,0.0005834776,0.1062784,0.7497761,0.05856051,0.03853987,0.04026739],"study_design_scores_gemma":[0.002978958,0.0001407104,0.03255184,0.0008496086,0.0002632081,0.002018745,0.0007227678,0.04462233,0.6074125,0.001403004,0.3045773,0.002459059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656323,0.004134317,0.009994522,0.0008874765,0.001754858,0.0001417993,0.0000304477,0.002485121,0.01493911],"genre_scores_gemma":[0.9923242,0.0001762566,0.005257897,0.00009851377,0.0002422745,0.00003028909,0.00004770006,0.0001088834,0.001713981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2660375,"threshold_uncertainty_score":0.9998789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005566363029199048,"score_gpt":0.1837278287025748,"score_spread":0.1781614656733758,"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."}}