{"id":"W4402065100","doi":"10.52103/jfo.v3i2.1637","title":"Kajian Potensi Pemanfaatan Air Tanah Berdasarkan Data Geolistrik Resistiviti untuk Air Baku","year":2024,"lang":"id","type":"article","venue":"Jurnal Flyover.","topic":"Heavy Metal Pollution Remediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Environmental science","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":[0.003026383,0.0007761309,0.0008706992,0.001579701,0.001877671,0.007075306,0.001278826,0.001415131,0.03324231],"category_scores_gemma":[0.006228528,0.0005543472,0.0008696255,0.002498632,0.001367572,0.00451088,0.002487277,0.001738142,0.00793757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001922333,"about_ca_system_score_gemma":0.002907285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006625965,"about_ca_topic_score_gemma":0.01260742,"domain_scores_codex":[0.9949331,0.0007768467,0.0003440576,0.0007264344,0.002683765,0.0005358226],"domain_scores_gemma":[0.9924513,0.002738473,0.000724242,0.001034682,0.002802955,0.0002483435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00257629,0.001079848,0.1143533,0.01121177,0.0004972881,0.002424809,0.01816374,0.003394067,0.2573402,0.0324543,0.04693046,0.5095741],"study_design_scores_gemma":[0.0000831308,0.001442846,0.09761276,0.00138892,0.0005224827,0.002160192,0.02557329,0.002806579,0.1947747,0.008012196,0.6653891,0.000233858],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6324472,0.02118111,0.04017879,0.01181812,0.001892708,0.001182787,0.01027146,0.0018489,0.279179],"genre_scores_gemma":[0.827984,0.01069594,0.02338368,0.002618221,0.0003481201,0.0005537484,0.006526497,0.0004248195,0.127465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03324231,"threshold_uncertainty_score":0.1112067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932811926034164,"score_gpt":0.2831969218521847,"score_spread":0.2538688025918431,"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."}}