{"id":"W4394911616","doi":"10.1109/ispcem60569.2023.00005","title":"Preface ISPCEM 2023","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Data and IoT Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000162003,0.00004450332,0.00004178889,0.00004525573,0.00001460328,0.000007718445,0.00009184889,0.00003352754,0.0001059882],"category_scores_gemma":[0.00001628741,0.00003846756,0.0000105011,0.0002495583,0.00001008993,0.0001052613,0.00004363704,0.00005007941,0.002681422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007773895,"about_ca_system_score_gemma":0.000001085134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001189495,"about_ca_topic_score_gemma":0.000003454073,"domain_scores_codex":[0.9997325,7.329206e-7,0.0000447868,0.00005906173,0.00003649162,0.0001264356],"domain_scores_gemma":[0.9998115,0.00001276524,0.000002139418,0.0001576138,0.000003423717,0.00001256241],"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":[0.000001129201,0.000003750707,0.0003286357,0.00004098621,0.00002142365,0.00001579797,0.00003825305,0.0297338,0.02315005,0.01028298,0.8528408,0.08354235],"study_design_scores_gemma":[0.0001622161,0.00002164018,0.002437728,0.00001127515,0.000003410223,0.000002874756,0.0006867331,0.06405725,0.06803568,0.006999376,0.8572943,0.0002875508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3808962,0.0007537071,0.1751912,0.001044752,0.001808477,0.0003750565,0.0001010694,0.068406,0.3714235],"genre_scores_gemma":[0.9695706,0.00086895,0.006982985,0.0000376643,0.00005834678,0.00003029403,0.00005409347,0.00003762134,0.0223594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5886744,"threshold_uncertainty_score":0.9980951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352175772770854,"score_gpt":0.2258246737094629,"score_spread":0.2123029159817544,"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."}}