{"id":"W4283817940","doi":"10.5539/mas.v16n3p9","title":"Determination of Optimum Conditions with Regression Analysis within the Scope of 6 Sigma for Eliminating Caking Problem in Nitrogen Fertilizers","year":2022,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Thermal and Kinetic Analysis","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Caking; Production (economics); Environmental science; Scope (computer science); Nitrogen; Fertilizer; Process (computing); Pulp and paper industry; Computer science; Chemistry; Engineering","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":[0.003151087,0.0008200614,0.001133046,0.001255427,0.0003551008,0.001021964,0.0006831042,0.000761221,0.0009496672],"category_scores_gemma":[0.004423153,0.0003952806,0.001105351,0.001833607,0.0003573072,0.0006653648,0.0005561114,0.0009330857,0.0004891006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003903814,"about_ca_system_score_gemma":0.0008140769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001765803,"about_ca_topic_score_gemma":0.002452559,"domain_scores_codex":[0.997079,0.0008823319,0.0002221549,0.0004537461,0.001186963,0.0001757895],"domain_scores_gemma":[0.9980004,0.0008476755,0.0003879329,0.0001353435,0.0005952899,0.00003324544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001195192,0.0009637077,0.01775743,0.001654206,0.0001854361,0.000259226,0.0005802165,0.04505511,0.7807657,0.001802484,0.0006588838,0.1491225],"study_design_scores_gemma":[0.00006162546,0.003700364,0.03143327,0.0001520313,0.0002317007,0.0002503379,0.0006170044,0.1335262,0.8234314,0.001108406,0.00533631,0.0001515344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6098732,0.00286008,0.3808873,0.0001942529,0.0000933968,0.000390682,0.0005750335,0.00104804,0.004077935],"genre_scores_gemma":[0.788543,0.001532094,0.2076709,0.00005007286,0.00001244472,0.0003655772,0.0004949386,0.0001517475,0.001179283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003151087,"threshold_uncertainty_score":0.01666474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486245215157052,"score_gpt":0.264365972129429,"score_spread":0.2495035199778584,"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."}}