{"id":"W4399669452","doi":"10.1117/12.3020018","title":"METIS RTC as a computationally heavy system","year":2024,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00145874,0.001399029,0.0009883119,0.001168275,0.001153298,0.003367249,0.003518881,0.0008869345,0.08304463],"category_scores_gemma":[0.003722137,0.0005226441,0.0007462067,0.001628404,0.0006732364,0.001876108,0.002360038,0.001463704,0.04094735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002543805,"about_ca_system_score_gemma":0.00354463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012677,"about_ca_topic_score_gemma":0.004630779,"domain_scores_codex":[0.9977302,0.0003386084,0.0001079166,0.0004511364,0.001031697,0.0003405301],"domain_scores_gemma":[0.9981291,0.000172969,0.00006614036,0.0006121579,0.0008464634,0.0001732251],"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":[0.001653241,0.0001650034,0.001419754,0.0003563114,0.0001040363,0.0003112822,0.0002617146,0.02957062,0.01813604,0.06439044,0.6208801,0.2627515],"study_design_scores_gemma":[0.0005663679,0.0002018044,0.001263547,0.00007316659,0.00005236985,0.0001705518,0.00008364992,0.2839426,0.0231986,0.01269458,0.677666,0.00008675964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02466239,0.000865827,0.4002242,0.002210296,0.001663774,0.001409303,0.0187745,0.240264,0.3099257],"genre_scores_gemma":[0.3298938,0.0007251677,0.4485066,0.001874878,0.0009590361,0.002860826,0.05931439,0.01942974,0.1364355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08304463,"threshold_uncertainty_score":0.2778119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009335692840726138,"score_gpt":0.2475596836402285,"score_spread":0.2382239907995023,"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."}}