{"id":"W4402973848","doi":"10.2139/ssrn.4972162","title":"Predictive Model for Bubble Size Distribution in a Vertical Pipe","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Bubble; Distribution (mathematics); Mechanics; Geology; Mathematics; Physics; Mathematical analysis","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":[0.0005469256,0.0008280275,0.0009884886,0.0007241039,0.0005325954,0.001171155,0.002431148,0.002845301,0.002734569],"category_scores_gemma":[0.002493537,0.0007994781,0.0007263623,0.000650658,0.001658138,0.001403065,0.001051098,0.001403814,0.0003582971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011455,"about_ca_system_score_gemma":0.0008945619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849063,"about_ca_topic_score_gemma":0.005704025,"domain_scores_codex":[0.9998031,0.00004427908,0.000006488452,0.00006114232,0.00003950179,0.00004554344],"domain_scores_gemma":[0.9989876,0.0005580583,0.0001284857,0.0000619505,0.000177476,0.00008637275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003799134,0.00002266021,0.0004590475,0.00002614303,0.000008849031,0.00006602833,0.00002066014,0.9898285,0.001509149,0.00658836,0.0002965199,0.001136166],"study_design_scores_gemma":[0.000003022638,0.000003014848,0.00006631036,9.649056e-7,0.000001340514,0.000002555355,0.000001599622,0.9991838,0.00008158093,0.0006352569,0.00001838445,0.000002172779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3666574,0.0009232902,0.6103319,0.00183338,0.0002787678,0.0001259673,0.001112306,0.001284907,0.01745204],"genre_scores_gemma":[0.9873495,0.0002305425,0.00527849,0.00009763256,0.00007125194,0.00007593342,0.0002404859,0.00006382806,0.006592383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01849063,"threshold_uncertainty_score":0.03676605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005323967139176007,"score_gpt":0.2184818308361463,"score_spread":0.2131578636969703,"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."}}