{"id":"W4399620986","doi":"10.1109/cespe60923.2023.00005","title":"Message from the General Chairs: CESPE 2023","year":2023,"lang":"en","type":"article","venue":"","topic":"Phase Change Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","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":["insufficient_payload"],"category_scores_codex":[0.0001401402,0.00008026549,0.00008276539,0.0000383637,0.00004209192,0.00007112658,0.0002432799,0.00003854244,0.004215484],"category_scores_gemma":[0.00002148771,0.00005329822,0.00002666949,0.0002360673,0.00001869019,0.00004310195,0.0001000354,0.00007577227,0.003217149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002311191,"about_ca_system_score_gemma":0.000005333791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003577151,"about_ca_topic_score_gemma":0.0002453098,"domain_scores_codex":[0.9993407,0.00002699301,0.00008631895,0.0001041856,0.0001729111,0.0002689262],"domain_scores_gemma":[0.9995984,0.00009218901,0.000004276499,0.0002465134,0.00001057239,0.00004809208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004935589,0.000005354454,0.000105091,0.00001843897,0.00004929005,0.00004601674,0.0003750658,0.001650051,0.4956856,0.0003485911,0.4994384,0.002273184],"study_design_scores_gemma":[0.0008193617,0.0000288229,0.009725522,0.00004008365,0.00001355759,0.00000299196,0.0008151561,0.1830879,0.5452178,0.003124989,0.256581,0.0005427888],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674222,0.0001945478,0.0001635423,0.001209136,0.0006939479,0.0001389313,0.0001949369,0.0009477313,0.02903503],"genre_scores_gemma":[0.9855265,0.0003705065,0.0001196018,0.0001909621,0.001242946,0.00008130399,0.0001440805,0.00005846185,0.0122656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2428574,"threshold_uncertainty_score":0.997559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0605476779384657,"score_gpt":0.3024057823610569,"score_spread":0.2418581044225911,"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."}}