{"id":"W4385637755","doi":"10.36227/techrxiv.23816748","title":"Mass Configuration of Heterogeneous IIoT Nodes: A Proposal and Experimental Evaluation","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Distributed computing","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":[0.003950149,0.001282666,0.0009178678,0.0006593704,0.001275049,0.002348555,0.002841777,0.001714097,0.007022664],"category_scores_gemma":[0.006118656,0.0004165475,0.0003351041,0.000597636,0.001411105,0.002851854,0.002682816,0.001046766,0.001769269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369704,"about_ca_system_score_gemma":0.0006641712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009452651,"about_ca_topic_score_gemma":0.0006196083,"domain_scores_codex":[0.997848,0.000793526,0.00007386169,0.0003266183,0.0005556394,0.0004023794],"domain_scores_gemma":[0.9962875,0.000989691,0.0002868028,0.0009580593,0.0007982652,0.0006796853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01609344,0.004511667,0.03876787,0.003566749,0.0006325045,0.002446821,0.002635557,0.1706564,0.4367121,0.1178173,0.02918928,0.1769703],"study_design_scores_gemma":[0.002106865,0.01705835,0.01664499,0.0004564836,0.0007937252,0.001277444,0.003068791,0.4733942,0.3823618,0.03813813,0.06439681,0.0003023722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.723226,0.002302868,0.2270131,0.001359839,0.0009561757,0.002391292,0.001177214,0.004242646,0.03733085],"genre_scores_gemma":[0.9631406,0.0002447803,0.03327969,0.0002045101,0.00009205007,0.0004588541,0.0004352566,0.0002307129,0.001913569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007022664,"threshold_uncertainty_score":0.02349311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03475715229791721,"score_gpt":0.2966452744270808,"score_spread":0.2618881221291636,"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."}}