{"id":"W4414920743","doi":"10.30598/tanahgoyang.2.1.22-36","title":"Inversi Seismik Model Based (AI) untuk Karakterisasi Reservoar Sub-Formasi SAND4 Lapangan Penobscot, Kanada","year":2024,"lang":"id","type":"article","venue":"Tanah Goyang Jurnal Geosains","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Inversion (geology); Halite","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002620161,0.0008195381,0.0004216812,0.0006754398,0.0002194705,0.00130009,0.0006248466,0.0005552439,0.006887717],"category_scores_gemma":[0.0009940525,0.0003622889,0.0005979066,0.0008847635,0.0001757044,0.0007549886,0.0005392172,0.0008578054,0.002553049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004644883,"about_ca_system_score_gemma":0.0008778107,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03095562,"about_ca_topic_score_gemma":0.03248264,"domain_scores_codex":[0.999835,0.0000149003,0.00001160693,0.00004130192,0.0000744885,0.0000227197],"domain_scores_gemma":[0.9998355,0.0000395794,0.00001493983,0.00002873693,0.00007217866,0.000009078006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004680182,0.0001691403,0.02459104,0.0004889044,0.0002269619,0.0004542363,0.0003058129,0.6612395,0.06033027,0.002472285,0.003804493,0.2454494],"study_design_scores_gemma":[0.00003891341,0.00007808855,0.0188622,0.00004555595,0.00007796302,0.0002062506,0.000255786,0.9603602,0.01347851,0.001668488,0.004869786,0.00005828011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4858431,0.0005507756,0.4677086,0.0004599446,0.0002573894,0.0001263971,0.005540469,0.00957855,0.02993482],"genre_scores_gemma":[0.9406736,0.000425332,0.04286982,0.0000411058,0.00002212322,0.00006126655,0.004287698,0.0003773237,0.01124169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9690444,"threshold_uncertainty_score":0.06155086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214761515325885,"score_gpt":0.2299273439487798,"score_spread":0.2084511924161913,"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."}}