{"id":"W1834929152","doi":"10.1002/9781118445112.stat00199","title":"Applicability of Statistics and Probability Theory to Nucleate Pool Boiling Heat Transfer","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Heat Transfer and Boiling Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Nucleation; Boiling; Nucleate boiling; Heat transfer; Monte Carlo method; Boiling heat transfer; Population; Statistical physics; Thermodynamics; Mechanics; Materials science; Statistics; Mathematics; Physics; Heat transfer coefficient; Demography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004892521,0.0007950135,0.001361743,0.0002382323,0.00008464812,0.0000394977,0.0003333038,0.0003821269,0.0005330993],"category_scores_gemma":[0.0001936214,0.0007370339,0.00006527649,0.00022557,0.0004454903,0.00003405212,0.00007192779,0.0006421311,0.00003980539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023393,"about_ca_system_score_gemma":0.00009861592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002300134,"about_ca_topic_score_gemma":0.002032122,"domain_scores_codex":[0.9968829,0.0001715114,0.000984243,0.0007965877,0.0004893097,0.0006754175],"domain_scores_gemma":[0.9980605,0.0005753026,0.00002920396,0.0007672306,0.0002145295,0.0003532912],"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":[0.0009090237,0.002085868,0.001435585,0.04589276,0.002938913,0.00007634519,0.004870707,0.007885756,0.006026869,0.2052589,0.2816538,0.4409655],"study_design_scores_gemma":[0.006447331,0.003499337,0.005815821,0.0079075,0.002876142,0.00003200833,0.0009708372,0.03568313,0.002305508,0.1205687,0.8043974,0.009496262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002315799,0.0008912949,0.9023957,0.00002667476,0.0002468146,0.001183657,0.08432356,0.0005244979,0.008091957],"genre_scores_gemma":[0.1501571,0.016897,0.8052465,0.0003571393,0.0007774993,0.0003968743,0.007368955,0.003050336,0.01574861],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5227436,"threshold_uncertainty_score":0.9995081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999152633071518,"score_gpt":0.2585698651247066,"score_spread":0.2385783387939914,"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."}}