{"id":"W2923660479","doi":"10.1061/9780784482094.029","title":"High-Capacity Micropiles in Edmonton Shale","year":2019,"lang":"en","type":"article","venue":"Geo-Congress 2019","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Arup Group (Canada)","funders":"","keywords":"Oil shale; Geology; Mining engineering; Petroleum engineering; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001203663,0.0001665921,0.0002815941,0.0001955639,0.00002256685,0.00004742181,0.0002128578,0.0001321963,0.0006942011],"category_scores_gemma":[0.00001046424,0.0001550449,0.00008540311,0.0002511605,0.00002555059,0.0002258141,0.00003639761,0.0002116075,0.001964449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005950444,"about_ca_system_score_gemma":0.00001111016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004257251,"about_ca_topic_score_gemma":0.000555282,"domain_scores_codex":[0.9990253,0.00003302352,0.0002543179,0.0002168727,0.0001689332,0.0003015175],"domain_scores_gemma":[0.9994669,0.0000272793,0.0000319044,0.0003694185,0.00003061094,0.00007387111],"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":[0.00008687782,0.0002814698,0.1333183,0.0005871672,0.0005334831,0.00007367947,0.00254835,0.6605917,0.1560178,0.002838383,0.03373606,0.009386697],"study_design_scores_gemma":[0.00735069,0.0001878187,0.1450368,0.000518992,0.0001477039,0.00002139482,0.0009305727,0.5964795,0.1189702,0.002405998,0.1246985,0.003251775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933334,0.0005125731,0.000141963,0.0001305274,0.0008772122,0.0001650926,0.00001902526,0.0001648826,0.004655341],"genre_scores_gemma":[0.9962906,0.000217559,0.0001616016,0.00005644466,0.00008402218,0.0000134005,0.00004044987,0.00002890505,0.003107052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09096248,"threshold_uncertainty_score":0.9988126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006629980175596002,"score_gpt":0.1889678838441259,"score_spread":0.1823379036685299,"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."}}