{"id":"W4400660282","doi":"10.53893/austenit.v16i1.8566","title":"PERANCANGAN KOMPOR BERBAHAN BAKAR OLI BEKAS UNTUK PENGERINGAN GARAM INDUSTRI","year":2024,"lang":"id","type":"article","venue":"Austenit.","topic":"Material Selection and Properties","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics","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":[0.000871781,0.00116898,0.0008451488,0.001447467,0.002628769,0.004851997,0.0009462589,0.001603053,0.0453807],"category_scores_gemma":[0.000846202,0.0006298579,0.0009434094,0.001393432,0.001132567,0.002338642,0.00262365,0.002272799,0.01472298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001964547,"about_ca_system_score_gemma":0.002875351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005526151,"about_ca_topic_score_gemma":0.0145329,"domain_scores_codex":[0.9987578,0.0001330327,0.0000534728,0.0002650204,0.0005648664,0.0002258784],"domain_scores_gemma":[0.9992454,0.0001044065,0.00009410344,0.00008558514,0.0003366948,0.0001338135],"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":[0.001624273,0.0007996253,0.01394996,0.004080517,0.0002451455,0.002740708,0.004524726,0.001311887,0.5153276,0.03017937,0.02619827,0.3990179],"study_design_scores_gemma":[0.00004829411,0.0005880544,0.02357339,0.0005423712,0.0002122503,0.001911333,0.005833454,0.001066025,0.1476356,0.00710059,0.8113577,0.0001308594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3568648,0.02896397,0.03789089,0.009138527,0.002075097,0.0004641672,0.001927603,0.001709876,0.5609651],"genre_scores_gemma":[0.4933045,0.0136695,0.02840014,0.001705358,0.0002236428,0.0002132991,0.001505866,0.0007864753,0.4601912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0453807,"threshold_uncertainty_score":0.1518135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02908504087209861,"score_gpt":0.2618512204371928,"score_spread":0.2327661795650942,"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."}}