{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002158825,0.0004230302,0.000200163,0.001787989,0.0009279909,0.000852923,0.0004053834,0.0001924371,0.01143678],"category_scores_gemma":[0.0006415335,0.0002343893,0.0002085414,0.002519084,0.0004007354,0.0002663207,0.0006601161,0.0003343583,0.002166034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004517827,"about_ca_system_score_gemma":0.00634971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8238954,"about_ca_topic_score_gemma":0.9427611,"domain_scores_codex":[0.9997713,0.000009293787,0.00001072885,0.0000421199,0.0001211516,0.00004539171],"domain_scores_gemma":[0.999071,0.00004712674,0.00007981209,0.00004887738,0.0006621187,0.0000910752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008818673,0.0000832299,0.6409338,0.0007232715,0.0001381009,0.002542655,0.003963543,0.003807023,0.08223538,0.003034873,0.07048896,0.1911673],"study_design_scores_gemma":[0.00001938764,0.00003627368,0.9028015,0.00008145093,0.00002585555,0.0001308654,0.002550729,0.001221927,0.006879252,0.0002106785,0.08601862,0.00002337568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7150902,0.001466256,0.01009706,0.001184026,0.0002072395,0.0006286683,0.1332793,0.0008775787,0.1371696],"genre_scores_gemma":[0.7340595,0.001497008,0.0156169,0.0002722941,0.00003638955,0.0002493582,0.04750045,0.0003674067,0.2004007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1761046,"threshold_uncertainty_score":0.3542834,"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."}}