{"id":"W4405425828","doi":"10.3390/fluids9120299","title":"The Reynolds Number: A Journey from Its Origin to Modern Applications","year":2024,"lang":"en","type":"article","venue":"Fluids","topic":"Tribology and Lubrication Engineering","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Universidad de Antofagasta","keywords":"Reynolds number; Magnetic Reynolds number; Mechanics; Physics; Turbulence","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":[],"category_scores_codex":[0.00007540137,0.0000893217,0.00006796119,0.00003756019,0.00008593351,0.00006844619,0.0001810553,0.000064336,0.00009684989],"category_scores_gemma":[0.00001235555,0.00007362302,0.0000345625,0.0002751764,0.000009200246,0.00006872955,0.00001890642,0.0001685806,0.002178869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004932309,"about_ca_system_score_gemma":0.00001403113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004376691,"about_ca_topic_score_gemma":0.000005376435,"domain_scores_codex":[0.9994937,0.000007652488,0.0001307603,0.0001280458,0.00007261812,0.0001672769],"domain_scores_gemma":[0.9995709,0.0001061609,0.000003207894,0.0002304723,0.00001829669,0.00007097188],"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":[0.00001205488,0.00003203143,0.0004893274,0.0001282328,0.0004638192,0.00002146591,0.002997372,0.1734611,0.1020646,0.189786,0.3994298,0.1311142],"study_design_scores_gemma":[0.00003547305,0.000002679088,0.0004972765,0.0000125772,0.00001077411,0.000005116638,0.000008360083,0.1322692,0.001764535,0.001313452,0.8639835,0.00009716295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02054194,0.00850553,0.9557008,0.001631386,0.00101325,0.0002639566,0.00005889457,0.001578721,0.01070552],"genre_scores_gemma":[0.9961842,0.0002698947,0.0009871714,0.00007637509,0.0004178772,0.0002569043,0.00001529207,0.00003636142,0.00175592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9756423,"threshold_uncertainty_score":0.998598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349253140461387,"score_gpt":0.2557062029789154,"score_spread":0.2422136715743015,"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."}}