{"id":"W4415119970","doi":"10.33096/nmnejp40","title":"Studi Analisa Efektifitas Kapal Keruk Pada Proyek Revitalisasi Danau Tempe","year":2025,"lang":"id","type":"article","venue":"Jurnal Teknik Sipil MACCA","topic":"Agriculture and Agroindustry Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Tempe; Distribution (mathematics); Nanocellulose","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":[0.005286504,0.0007715145,0.001504757,0.001546586,0.001106113,0.002614029,0.001054277,0.001252244,0.01910898],"category_scores_gemma":[0.01435196,0.0005324236,0.002810267,0.001848264,0.0006181879,0.002002883,0.001513372,0.00187728,0.002899373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723905,"about_ca_system_score_gemma":0.004555761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01172211,"about_ca_topic_score_gemma":0.02640508,"domain_scores_codex":[0.9964634,0.001324016,0.0005533824,0.000506079,0.0006076511,0.0005454815],"domain_scores_gemma":[0.9906218,0.004828648,0.001775044,0.0003947448,0.00174583,0.0006339715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003974766,0.001808022,0.6971034,0.02305622,0.005831097,0.0008974365,0.01100321,0.0006731913,0.001156557,0.002824999,0.02114368,0.2305275],"study_design_scores_gemma":[0.0003264608,0.005044147,0.8490519,0.01133572,0.008822244,0.001352487,0.0311194,0.0006591056,0.001932367,0.002751898,0.08743893,0.0001653532],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8607839,0.08153576,0.002421676,0.005659319,0.0009237834,0.002585802,0.01482923,0.0001028052,0.03115765],"genre_scores_gemma":[0.9494087,0.02569368,0.002144684,0.001714768,0.0002051272,0.001839305,0.003423116,0.00005150422,0.01551912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01910898,"threshold_uncertainty_score":0.06392592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107128058003024,"score_gpt":0.2530755308075992,"score_spread":0.232004250227569,"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."}}