{"id":"W2086375592","doi":"10.1016/s0965-9978(02)00013-3","title":"Computer modeling and software development predicting dynamic mat formation in paper machine","year":2002,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Material Properties and Processing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Software development; Software; Software engineering; Engineering drawing; Engineering; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.00008288114,0.0001965884,0.0001881793,0.0001436537,0.00004528832,0.00004992294,0.00008907048,0.00006931974,0.00001881994],"category_scores_gemma":[0.00002449513,0.0001994435,0.00001367756,0.0001406602,0.000007268617,0.000986985,0.00004814999,0.0001835411,0.000004130818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001191187,"about_ca_system_score_gemma":0.000002191051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005943929,"about_ca_topic_score_gemma":0.00004904297,"domain_scores_codex":[0.9990717,0.000006389295,0.0003492738,0.0001689211,0.0001041776,0.0002995872],"domain_scores_gemma":[0.9998012,0.000032538,0.00002095041,0.00009080366,0.00001321726,0.00004129877],"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":[0.000002253501,0.000004789423,0.0009576167,0.0008632491,0.000002783131,0.00000613507,0.0007914072,0.8531767,0.0001025051,0.00000178159,0.000001242798,0.1440896],"study_design_scores_gemma":[0.0002560933,0.000008870245,0.0002698706,0.0005914795,0.000001873987,0.00001719344,0.00002206942,0.9972473,0.0001645282,0.00003194543,0.001145389,0.0002433686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3315777,0.01648116,0.6509401,0.000008904614,0.0002970155,0.000129827,0.000003999435,0.0005358203,0.00002546801],"genre_scores_gemma":[0.8871632,0.00110823,0.1115852,0.00001804277,0.00003461955,0.00002906131,0.00001215074,0.0000436546,0.000005861023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5555855,"threshold_uncertainty_score":0.8133069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005658315266396031,"score_gpt":0.1820478472863192,"score_spread":0.1763895320199232,"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."}}