{"id":"W2018405117","doi":"10.1142/9789812702111_0027","title":"EXCLUSIVE DEEPLY INELASTIC ELECTROPRODUCTION AT HERMES","year":2005,"lang":"en","type":"article","venue":"","topic":"Metal Extraction and Bioleaching","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"TRIUMF","funders":"","keywords":"Computer science; Physics; Nuclear physics; Particle physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000362189,0.00007148825,0.0000587356,0.00004049603,0.00004998202,0.00001293982,0.00003281935,0.00003062547,0.000977045],"category_scores_gemma":[0.00001132281,0.00005951161,0.00002673425,0.00006890486,0.00000638534,0.0001222438,0.000009996672,0.00009149181,0.0005406312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006264621,"about_ca_system_score_gemma":0.000002250395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002171163,"about_ca_topic_score_gemma":0.00002810191,"domain_scores_codex":[0.9996181,0.000007358876,0.00009505551,0.00009189312,0.00006226581,0.0001253588],"domain_scores_gemma":[0.9998583,0.000009802668,0.000009564525,0.00007791416,0.000007677548,0.00003675128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001279036,0.00002384213,0.0001265879,0.00002042626,0.00003403821,0.000001501687,0.000118123,0.03073932,0.8341625,0.001517302,0.007138088,0.1261054],"study_design_scores_gemma":[0.0002778244,0.00004219407,0.003136992,0.000008255406,0.00001915336,0.0001082339,0.0000749426,0.1153924,0.3669035,0.0001007789,0.5136035,0.0003321759],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8749192,0.0004036308,0.0164324,0.0005957255,0.0006025729,0.00009422528,4.91346e-7,0.0008023822,0.1061494],"genre_scores_gemma":[0.9884447,0.00005017151,0.001328572,0.0001104439,0.000419375,0.000003208909,0.000003825642,0.00001236568,0.009627357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5064654,"threshold_uncertainty_score":0.9999362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004268753059900822,"score_gpt":0.1835157746040875,"score_spread":0.1792470215441866,"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."}}