{"id":"W4312573588","doi":"10.24843/jitpa.2022.v07.i02.p01","title":"Deteksi Jejak Komponen Polimer Geomembran pada Garam dengan Alas Pengering Plastik Geomembran","year":2022,"lang":"en","type":"article","venue":"Jurnal Ilmiah Teknologi Pertanian Agrotechno","topic":"Geotechnical and construction materials studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geomembrane Technologies (Canada)","funders":"","keywords":"Geomembrane; Distilled water; High-density polyethylene; Salt (chemistry); Fourier transform infrared spectroscopy; Materials science; Polymer; Plastic film; Polyethylene; Chemistry; Composite material; Chemical engineering; Chromatography; Organic chemistry","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":[0.0004740873,0.0008695651,0.0005887075,0.0007457472,0.0008920471,0.001223188,0.0004228766,0.0007595783,0.02647312],"category_scores_gemma":[0.0006350088,0.0005806147,0.0006949333,0.0007083201,0.0005215319,0.001189833,0.0007167872,0.00136614,0.006077398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006186638,"about_ca_system_score_gemma":0.0008260009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002009675,"about_ca_topic_score_gemma":0.005221505,"domain_scores_codex":[0.9993679,0.00005783014,0.00002833857,0.0001501957,0.0003073074,0.00008839901],"domain_scores_gemma":[0.9995221,0.0001333421,0.00006770188,0.00005427097,0.0001705255,0.00005214233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000658262,0.0001757767,0.002949315,0.00129278,0.00004903528,0.0003726338,0.0004974158,0.0005872379,0.9170508,0.0009871303,0.003532386,0.0718471],"study_design_scores_gemma":[0.00002776216,0.001086836,0.01390004,0.000172349,0.0001349877,0.0007110943,0.0008460397,0.0009189645,0.8588248,0.0005850214,0.1227273,0.00006475457],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7951415,0.0251897,0.04234127,0.001463507,0.001128904,0.0005319267,0.00360772,0.001795973,0.1287994],"genre_scores_gemma":[0.7853001,0.01308811,0.02891447,0.000856987,0.00009499584,0.0003753713,0.002879902,0.0006790825,0.1678109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02647312,"threshold_uncertainty_score":0.08856148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007727147339119546,"score_gpt":0.1762243591160034,"score_spread":0.1684972117768838,"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."}}