{"id":"W2118440258","doi":"10.1139/cjes-2014-0188","title":"Preliminary study on the pore characterization of lacustrine shale reservoirs using low pressure nitrogen adsorption and field emission scanning electron microscopy methods: a case study of the Upper Jurassic Emuerhe Formation, Mohe basin, northeastern China","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Geological Survey; National Science Foundation","keywords":"Oil shale; Geology; Characterization (materials science); Adsorption; Scanning electron microscope; Mineralogy; Pore water pressure; Green River Formation; Geotechnical engineering; Chemistry; Materials science; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002307933,0.0001846695,0.0001316821,0.0007926244,0.0003685431,0.0002668826,0.0002315404,0.0002705431,0.0005192346],"category_scores_gemma":[0.0001430804,0.0001088492,0.0001497615,0.0003728902,0.0002098095,0.0004663228,0.0001839631,0.0001027211,0.00006348628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231124,"about_ca_system_score_gemma":0.0002294225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003595,"about_ca_topic_score_gemma":0.03363688,"domain_scores_codex":[0.9999069,0.000006569732,0.000005694551,0.00003014685,0.00002980819,0.00002090604],"domain_scores_gemma":[0.9998705,0.00002332024,0.00002311399,0.000008030963,0.00006339412,0.0000115339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007434486,0.00005715433,0.2352431,0.0002154669,0.00003417687,0.0006813621,0.001156057,0.001213647,0.7442802,0.0001966366,0.00006432147,0.01678361],"study_design_scores_gemma":[0.000002959634,0.00008608024,0.8732649,0.00001105247,0.00002621926,0.0005491563,0.0007625105,0.005378989,0.1183261,0.00007030088,0.001508987,0.00001279571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981411,0.0001980642,0.00113398,0.000007923653,9.505769e-7,0.000006585838,0.00008721205,0.00001131404,0.0004128579],"genre_scores_gemma":[0.9973609,0.0001482155,0.001879103,0.0000066068,0.000001756826,0.00000477202,0.0001201699,0.000003338843,0.0004752699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01003595,"threshold_uncertainty_score":0.0199551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184907825861568,"score_gpt":0.2894633577090386,"score_spread":0.257614279450423,"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."}}