{"id":"W2054114216","doi":"10.1016/j.renene.2009.06.007","title":"Optimal mixed convection for maximal energy recovery with vertical porous channel (solar wall)","year":2009,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Solar Energy Systems and Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mechanics; Combined forced and natural convection; Convection; Porosity; Materials science; Porous medium; Channel (broadcasting); Environmental science; Physics; Thermodynamics; Geology; Natural convection; Computer science; Composite material; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009037564,0.0003093653,0.0003634279,0.0001766965,0.0001162798,0.00006643306,0.0002006445,0.0003197666,0.00001191601],"category_scores_gemma":[0.00002415019,0.0002775818,0.0001052229,0.0002651494,0.00003572731,0.0002172307,0.00002150631,0.00008841018,0.00000228535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425518,"about_ca_system_score_gemma":0.00003421417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002306731,"about_ca_topic_score_gemma":0.0008154213,"domain_scores_codex":[0.9985878,0.00002081071,0.0002853852,0.0003530623,0.0001851816,0.0005677703],"domain_scores_gemma":[0.9993786,0.00005152804,0.00003589881,0.0003589609,0.00006914015,0.0001058749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001340634,0.00004434033,0.00001053682,0.00002201536,0.0001024585,0.00003151205,0.00001223376,0.9722485,0.01075806,0.004674902,0.002596764,0.009364591],"study_design_scores_gemma":[0.001747632,0.001729236,0.0001392962,0.0001090387,0.00007962478,0.0002406158,0.0001323812,0.3621071,0.5147404,0.00348973,0.1144969,0.0009880724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.10341,0.001923122,0.8858912,0.0002033895,0.001024047,0.0001263046,0.00001240157,0.002219734,0.005189858],"genre_scores_gemma":[0.9946651,0.0002853825,0.00305014,0.0001090644,0.000247594,0.00010928,0.00005018074,0.00007168111,0.001411527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8912552,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007331300329304445,"score_gpt":0.1776769866764947,"score_spread":0.1703456863471903,"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."}}