{"id":"W4389235001","doi":"10.56530/lcgc.na.vn8774i7","title":"ExTech 2023, Celebrating 25 Years of Innovation in Extraction Technologies","year":2023,"lang":"en","type":"article","venue":"LCGC North America","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Library science; Extraction (chemistry); History; Environmental ethics; Political science; Geography; Regional science; Engineering; Computer science; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.00008559456,0.00007039043,0.0001403673,0.000724301,0.00001846943,0.000009842091,0.00009224671,0.0000570403,0.00002151023],"category_scores_gemma":[0.0001318227,0.00007780261,0.00002548102,0.005729361,0.00003136649,0.0001241793,0.00002236338,0.0001470559,0.00008184098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000268151,"about_ca_system_score_gemma":0.00001111471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005642724,"about_ca_topic_score_gemma":0.0001624989,"domain_scores_codex":[0.9992678,0.00001187625,0.0003347547,0.0001076571,0.0001358745,0.0001419938],"domain_scores_gemma":[0.9996917,0.00003121389,0.00007244013,0.0001574538,0.00003701074,0.00001020434],"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":[0.000005149285,0.00003280341,0.01720334,0.00007061913,0.00004759332,0.00002241808,0.0007841453,0.5424764,0.04058244,0.00009490741,0.001622807,0.3970574],"study_design_scores_gemma":[0.0004576067,0.00009328516,0.06179569,0.0000583026,0.00002298386,0.000001946309,0.00571136,0.8872384,0.01325248,0.0006808714,0.03017921,0.0005078917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909895,0.00007863339,0.005974118,0.0001451087,0.00009480807,0.00008583508,0.000005037201,0.0007870437,0.001839891],"genre_scores_gemma":[0.998862,0.0002859058,0.0006324466,0.00001192111,0.00001422759,0.00002647683,0.00006889748,0.00001319651,0.00008498807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3965495,"threshold_uncertainty_score":0.3172698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269286779502768,"score_gpt":0.2439481375141294,"score_spread":0.2312552697191018,"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."}}