{"id":"W6949600847","doi":"10.5281/zenodo.14710229","title":"INSTAR Rollup #1 - AIOTI Days 2024","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Key (lock); Instar; Emerging technologies; Information technology","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003400308,0.000109619,0.000111569,0.00025535,0.001065425,0.001913917,0.002195599,0.00004676214,0.002560043],"category_scores_gemma":[0.0002299528,0.0001153324,0.00004243067,0.0008057248,0.00008881596,0.0009733727,0.002838259,0.0001806343,0.0105896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008579646,"about_ca_system_score_gemma":0.000008599985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009621743,"about_ca_topic_score_gemma":2.872202e-7,"domain_scores_codex":[0.9987957,0.00009752795,0.0001977956,0.0004390355,0.0001753134,0.0002946416],"domain_scores_gemma":[0.9988695,0.00001887236,0.0000477989,0.0007303258,0.0002090451,0.0001244423],"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":[0.00001213045,0.00007557425,0.000003583565,0.00002844278,0.00002402836,0.00001080399,0.0002040652,0.00001983713,0.0002136442,0.1932248,0.5176224,0.2885608],"study_design_scores_gemma":[0.0002704542,0.00006413755,0.0002919231,0.00002235172,0.000003156239,0.00002240358,0.00004159818,0.00180694,0.0002436276,0.002102653,0.9950145,0.0001161994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001237938,0.0001182827,0.1437232,0.001791114,0.000337244,0.0002255111,0.0001051373,0.0009161299,0.8515455],"genre_scores_gemma":[0.9667416,0.0001200006,0.004228062,0.00269675,0.0001874724,8.085466e-8,0.001184661,0.0008498047,0.02399154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9655037,"threshold_uncertainty_score":0.9991222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03179318165978392,"score_gpt":0.2384113101170477,"score_spread":0.2066181284572638,"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."}}