{"id":"W2069649722","doi":"10.1016/j.enconman.2005.11.018","title":"Optimization of ice making in laminar falling films","year":2006,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Freezing and Crystallization Processes","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Laminar flow; Falling (accident); Mechanics; Series (stratigraphy); Clear ice; Meteorology; Inlet; Thermodynamics; Environmental science; Materials science; Chemistry; Mathematics; Engineering; Physics; Geology; Sea ice; Arctic ice pack; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0000353744,0.00005085857,0.00005548512,0.0001009596,0.00001731201,0.000009570348,0.00003454673,0.00002109701,0.00003871428],"category_scores_gemma":[0.000001230822,0.00005549611,0.000008640641,0.0001250108,0.000008907713,0.00005760119,0.00001990268,0.0000149662,4.778382e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001056487,"about_ca_system_score_gemma":0.000001127065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003668501,"about_ca_topic_score_gemma":0.00001722339,"domain_scores_codex":[0.9996941,0.000005059418,0.0001031074,0.00007097421,0.00006094276,0.00006579883],"domain_scores_gemma":[0.9999085,0.000008232283,0.00001797838,0.0000465487,0.00001062042,0.000008108166],"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":[0.000002541765,0.00000953201,0.0001145963,0.000191839,0.000005486695,0.0000033745,0.00003416454,0.9887595,0.0001953025,0.008953298,0.0006004588,0.001129972],"study_design_scores_gemma":[0.0004281347,0.00001061483,0.0002920454,0.0001347331,0.00001114123,4.35244e-7,0.000383817,0.972158,0.00276396,0.000136191,0.02356222,0.0001186637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03861424,0.001297927,0.9003336,0.0000561066,0.0002295526,0.00009007881,0.000001499649,0.00020856,0.05916836],"genre_scores_gemma":[0.9948913,0.0008797586,0.003438567,0.00002954499,0.000006852976,0.000003731869,0.0000121462,0.000007520686,0.0007305738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9562771,"threshold_uncertainty_score":0.2263066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004299023596285765,"score_gpt":0.1719717318808515,"score_spread":0.1676727082845657,"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."}}