{"id":"W6929742806","doi":"10.5281/zenodo.10033809","title":"5G-IANA - D5.1 - Initial validation KPIs and metrics","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Resverlogix (Canada)","funders":"European Commission","keywords":"Deliverable; Performance indicator; Set (abstract data type); Key (lock); Automotive industry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07158526,0.003438803,0.001826118,0.00888251,0.002182133,0.01254988,0.005121462,0.003330661,0.01779963],"category_scores_gemma":[0.09953781,0.001296703,0.001856091,0.004641606,0.001858073,0.008979274,0.008131975,0.004306056,0.02235812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01076901,"about_ca_system_score_gemma":0.02123478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01889967,"about_ca_topic_score_gemma":0.008791412,"domain_scores_codex":[0.9128354,0.02238362,0.005566879,0.00331688,0.05088704,0.005010217],"domain_scores_gemma":[0.8735576,0.01413886,0.005999102,0.01873484,0.08250308,0.0050667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001863206,0.002483675,0.02148399,0.007031707,0.0003696574,0.001006395,0.0034759,0.02186565,0.03436139,0.09368252,0.3258018,0.486574],"study_design_scores_gemma":[0.000366082,0.002656012,0.02345316,0.005858583,0.0002697872,0.0008127575,0.002261656,0.02790866,0.05918745,0.01987391,0.856865,0.0004869832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07527151,0.003951636,0.3927168,0.008873004,0.002277257,0.02525955,0.06794427,0.06285512,0.3608509],"genre_scores_gemma":[0.1547329,0.0024827,0.5577758,0.00195425,0.000301955,0.01491327,0.202734,0.01424265,0.05086242],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07158526,"threshold_uncertainty_score":0.3785836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03338841752713151,"score_gpt":0.2397609245336283,"score_spread":0.2063725070064968,"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."}}