{"id":"W2736566994","doi":"10.1139/cjp-2017-0062","title":"Outlining the impact of second-order slip and multiple convective condition on nanofluid flow: A new statistical layout","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanofluid; Physics; Nonlinear system; Mechanics; Flow (mathematics); Boundary value problem; Ordinary differential equation; Convective flow; Slip (aerodynamics); Convective Boundary Layer; Matrix similarity; Thermal; Shooting method; Partial differential equation; Convection; Statistical physics; Boundary layer; Differential equation; Thermodynamics; Heat transfer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001019857,0.0003903723,0.0005906977,0.001070903,0.0005612666,0.001219817,0.0005427685,0.000427903,0.002497937],"category_scores_gemma":[0.002612269,0.0001984079,0.0004800908,0.000622098,0.001100492,0.001073258,0.0005020991,0.0006287157,0.0002218891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004903192,"about_ca_system_score_gemma":0.0008308332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002027523,"about_ca_topic_score_gemma":0.001803027,"domain_scores_codex":[0.9997193,0.00006089803,0.00002012458,0.00005053099,0.0001018837,0.00004724961],"domain_scores_gemma":[0.9978656,0.001176902,0.0002627105,0.0002658841,0.0003550418,0.00007389908],"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":[0.0002306059,0.0003149186,0.01529949,0.0005365653,0.00006411874,0.001636924,0.0007737032,0.4294941,0.132799,0.3458139,0.00240554,0.07063114],"study_design_scores_gemma":[0.000005583111,0.0000998473,0.00340421,0.00001594596,0.00001187923,0.0001610823,0.00006723752,0.958879,0.01226618,0.02343293,0.001616486,0.000039551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3014238,0.0005329693,0.688141,0.0003844824,0.0000851557,0.0001054685,0.0002897916,0.0007014928,0.008335746],"genre_scores_gemma":[0.9470094,0.0004848786,0.04901994,0.00005759534,0.00008864045,0.00008690063,0.0002536282,0.0002095211,0.002789424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002497937,"threshold_uncertainty_score":0.008356452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771725957032675,"score_gpt":0.2554992937773626,"score_spread":0.2377820342070359,"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."}}