{"id":"W2516267451","doi":"","title":"DRY HOLE ANALYSIS PADA LAPANGAN PENOBSCOT, NOVA SCOTIA, KANADA DENGAN MENGGUNAKAN DATA SUMUR DAN DATA SEISMIK YANG TERINTEGRASI DENGAN PETROLEUM SYSTEM","year":2016,"lang":"id","type":"article","venue":"Electronic theses and dissertations (Syiah Kuala University)","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Geology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003988962,0.000551673,0.0007725483,0.0003912518,0.001245222,0.0002378149,0.002219391,0.000166927,0.0003612642],"category_scores_gemma":[0.000150417,0.0003896748,0.0001774759,0.001627181,0.0004035911,0.001099909,0.0006011885,0.0004249756,0.0002562492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008069909,"about_ca_system_score_gemma":0.0003090136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05873688,"about_ca_topic_score_gemma":0.5274144,"domain_scores_codex":[0.9960807,0.0004225104,0.0004002704,0.001461619,0.000446844,0.001188071],"domain_scores_gemma":[0.9966651,0.0008997804,0.000263799,0.001592718,0.0001249478,0.0004537022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00049232,0.0005504823,0.9309947,0.0002555206,0.00581846,0.000314043,0.001488028,0.0003644087,0.0006641033,0.02416452,0.0003696044,0.03452384],"study_design_scores_gemma":[0.00155671,0.0008296056,0.8815829,0.0002320954,0.004516869,0.00001295219,0.04743705,0.01016785,0.0002289307,0.0002317243,0.05178552,0.001417778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904943,0.002122803,0.0006653325,0.001019776,0.0001844605,0.0002855667,0.001454195,0.0001143212,0.0036593],"genre_scores_gemma":[0.9853591,0.0008378855,0.00008085194,0.00005387261,0.00008452706,4.558286e-7,0.002070385,0.00001432311,0.01149858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4686775,"threshold_uncertainty_score":0.9998555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390775388932129,"score_gpt":0.2173390139298394,"score_spread":0.1934312600405181,"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."}}