{"id":"W7068244871","doi":"","title":"ESSU May 31 2014","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Victory; Trophy; Yard; Nothing; Table (database)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001708876,0.000257611,0.0003039076,0.00008040019,0.00006751205,0.0001112961,0.0008685156,0.0001962596,0.07770784],"category_scores_gemma":[0.00002199321,0.000263226,0.000143421,0.00001281687,0.00006893764,2.57084e-7,0.0002024374,0.0001805038,0.04401347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000246636,"about_ca_system_score_gemma":0.00004912113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196296,"about_ca_topic_score_gemma":0.0001064811,"domain_scores_codex":[0.998643,0.000044139,0.0004485093,0.0002513039,0.0003975253,0.000215562],"domain_scores_gemma":[0.9984106,0.0001369046,0.0005267852,0.0006649569,0.0001503939,0.0001103796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002970478,0.00002730782,3.85797e-7,0.0001077057,0.00002591563,0.000001364806,0.00003662676,0.0005451168,1.560851e-7,0.008728922,0.9848408,0.00568277],"study_design_scores_gemma":[0.0001968817,0.00004014759,0.000007993254,0.00006600285,0.00001366092,0.00001598179,0.000002683194,0.001177431,0.000003158561,0.000476325,0.9977233,0.0002764528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001371034,0.0001135816,0.001203805,0.0005892733,0.0002700676,0.0002911115,0.00005064157,0.0002726408,0.9972075],"genre_scores_gemma":[0.0005371085,0.00005282955,0.0129429,0.0005074175,0.0001902735,0.0000225449,0.0001237331,0.00006116535,0.985562],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03369438,"threshold_uncertainty_score":0.999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005250410288507004,"score_gpt":0.1930082222668411,"score_spread":0.187757811978334,"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."}}