{"id":"W7028269160","doi":"","title":"Exclusive processes at HERMES","year":2015,"lang":"en","type":"article","venue":"DESY (CERN, DESY, Fermilab, IHEP, and SLAC)","topic":"Diverse Specialized Academic Research","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Istituto Nazionale di Fisica Nucleare; Vlaamse regering; Fonds Wetenschappelijk Onderzoek; Ministry of Education and Science; Bundesministerium für Bildung und Forschung; National Natural Science Foundation of China; Ministry of Education, Culture, Sports, Science and Technology; Japan Society for the Promotion of Science; Scottish Universities Physics Alliance; U.S. Department of Energy; National Science Foundation","keywords":"","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006367831,0.0003442669,0.0006641959,0.0003507783,0.0003386106,0.0002782424,0.0006011067,0.000321839,0.001699764],"category_scores_gemma":[0.0006098959,0.0003701512,0.0001126103,0.0005047919,0.000326465,0.0005606217,0.0006028049,0.0003583671,0.0027608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002990726,"about_ca_system_score_gemma":0.0001075304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000256918,"about_ca_topic_score_gemma":0.00007305212,"domain_scores_codex":[0.9975275,0.00004381376,0.0006568893,0.0008368919,0.0001948451,0.0007400538],"domain_scores_gemma":[0.9984875,0.0001049031,0.0002926628,0.0004563768,0.0001500459,0.0005085442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009773546,0.0005555563,0.5116336,0.000861766,0.0005469234,0.0004127944,0.01250745,0.00007136582,0.0002445053,0.2299557,0.220609,0.02162387],"study_design_scores_gemma":[0.002610303,0.0001886585,0.01435134,0.00005652909,0.00002300659,0.00008492509,0.0008267023,0.0003444802,0.0007633622,0.05897577,0.9209341,0.0008408042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6995995,0.01272261,0.0001065763,0.00110778,0.0006292218,0.0004891926,0.0002494712,0.0001444598,0.2849512],"genre_scores_gemma":[0.9518948,0.006187388,0.0002823648,0.0007069393,0.0006313464,0.00003553572,0.00006243129,0.0001002843,0.04009897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7003251,"threshold_uncertainty_score":0.9998751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1345957564342701,"score_gpt":0.2706695569067231,"score_spread":0.136073800472453,"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."}}