{"id":"W4415120167","doi":"10.63824/jptsp.v12i2.323","title":"PERBANDINGAN EFEKTIVITAS DAN EFISIENSI PENGGUNAAN BATU BATA HITAM RAMAH LINGKUNGAN DENGAN PENGGUNAAN BATU BATA MERAH TRADISIONAL","year":2025,"lang":"id","type":"article","venue":"JURNAL TEKNIK SIPIL PERTAHANAN","topic":"Geotechnical and construction materials studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Consumer demand; Technical analysis; Working hours","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":[0.001214707,0.0009752621,0.0009187278,0.0009894359,0.0008398752,0.00290956,0.0006988042,0.001195542,0.01575234],"category_scores_gemma":[0.0009489219,0.0004287764,0.0010608,0.0008382853,0.0007418519,0.001149879,0.0009590344,0.001844825,0.002841999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135809,"about_ca_system_score_gemma":0.001297701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004866078,"about_ca_topic_score_gemma":0.009202685,"domain_scores_codex":[0.9993134,0.0001562321,0.00005334612,0.000154376,0.000210919,0.0001117346],"domain_scores_gemma":[0.9992884,0.0002132986,0.0001273132,0.0000709082,0.000224,0.00007615086],"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":[0.004850534,0.001765513,0.0152556,0.01154655,0.0009074924,0.0007506036,0.002456152,0.001169102,0.4877385,0.008435348,0.007835347,0.4572893],"study_design_scores_gemma":[0.0003847036,0.01051413,0.1539945,0.004567325,0.002802134,0.002666802,0.009523281,0.001310826,0.3038474,0.01163186,0.4984461,0.0003109358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6549338,0.213679,0.01883537,0.006586784,0.001767261,0.0005611663,0.003796328,0.0004512834,0.09938915],"genre_scores_gemma":[0.8015358,0.092006,0.01500436,0.002460649,0.0003827594,0.0004527016,0.002289934,0.0001794597,0.08568837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01575234,"threshold_uncertainty_score":0.05269682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009978325619692469,"score_gpt":0.2303200272502402,"score_spread":0.2203417016305477,"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."}}