{"id":"W2981488705","doi":"10.4095/299487","title":"Mineralogy of shales, central Sverdrup Basin","year":2016,"lang":"en","type":"report","venue":"","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Sverdrup; Geology; Structural basin; Oil shale; Paleontology","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":[0.0002034555,0.0002323532,0.0002645469,0.002102424,0.0006078062,0.0004638963,0.0002512967,0.0002417887,0.0009000779],"category_scores_gemma":[0.000190527,0.0001897813,0.0001879255,0.001116114,0.0002785858,0.0002286067,0.0004567023,0.0001106992,0.0003073555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006857946,"about_ca_system_score_gemma":0.001336024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1458572,"about_ca_topic_score_gemma":0.2467968,"domain_scores_codex":[0.9998618,0.00001133536,0.00001529216,0.00002758931,0.00006061044,0.00002327855],"domain_scores_gemma":[0.9999009,0.00001064268,0.00001462938,0.000007437419,0.00004813079,0.00001812396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006832623,0.000189197,0.9112468,0.0002590187,0.0001851727,0.001785175,0.00194057,0.009678252,0.03900297,0.0005023339,0.0009595538,0.03356776],"study_design_scores_gemma":[0.00001431064,0.00005189602,0.9911962,0.00001678202,0.00001919345,0.0002182294,0.0006423143,0.001686243,0.003692825,0.00003687602,0.002418475,0.000006674293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971835,0.0001077678,0.00005508146,0.000009211806,0.000001295664,0.000006370197,0.001195294,0.0000113205,0.001430078],"genre_scores_gemma":[0.9963749,0.0001247234,0.0002024441,0.00000466401,0.00000136251,0.000007647396,0.001312814,0.000005172346,0.00196632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1458572,"threshold_uncertainty_score":0.2900165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219452045953041,"score_gpt":0.2448243197654888,"score_spread":0.2228791151701847,"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."}}