{"id":"W7036181783","doi":"","title":"ARCHIVEIT-3490-TWELVE_HOURS-EOFZCA-20130206170914-00000-crawling113.us.archive.org-6681.warc.gz","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.0005172178,0.0008929526,0.0009259967,0.0004003981,0.0002602609,0.0003936886,0.002876728,0.0005986247,0.2419358],"category_scores_gemma":[0.0002555995,0.0008932499,0.0004499926,0.00005070638,0.0004692403,0.000003637185,0.0008661861,0.0008590079,0.1216884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001122117,"about_ca_system_score_gemma":0.0001611688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0134142,"about_ca_topic_score_gemma":0.001690746,"domain_scores_codex":[0.9951698,0.0002753364,0.001446404,0.0008021923,0.001158605,0.001147665],"domain_scores_gemma":[0.9959629,0.0003824551,0.001244275,0.001619026,0.0003224915,0.000468829],"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":[0.00003745883,0.0001158946,0.00001534245,0.0003997463,0.0001048877,0.00005652858,0.0005102134,0.0003324439,0.000006872965,0.002879053,0.9894381,0.00610344],"study_design_scores_gemma":[0.0003272981,0.0002976263,0.00002973621,0.0004183124,0.00004266818,0.000107182,0.0001349508,0.00121734,0.0002345694,0.0004486141,0.9958156,0.0009261214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006539619,0.0002641671,0.001017189,0.0004393316,0.001017256,0.00109365,0.0001336284,0.0008086867,0.9951607],"genre_scores_gemma":[0.0009022783,0.000409926,0.01495949,0.0007952965,0.0005124004,0.00008305406,0.0001593178,0.000235666,0.9819426],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1202474,"threshold_uncertainty_score":0.9993518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008722605257358287,"score_gpt":0.1993437373593479,"score_spread":0.1906211321019896,"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."}}