{"id":"W4400998315","doi":"10.69645/vnkn5720","title":"Finding sweet spot solutions: Greek yogurt","year":2021,"lang":"en","type":"article","venue":"˜The œbusiness & management collection.","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Sweet spot; Computer science; Simulation","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":[0.0003214609,0.0002075062,0.0002397355,0.0002208816,0.001099839,0.0002352027,0.000231524,0.0000962277,0.0001955689],"category_scores_gemma":[0.00004187569,0.0001730759,0.0001610925,0.003101407,0.0001217719,0.0001222237,0.0002344395,0.0001850174,0.00005558408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002083828,"about_ca_system_score_gemma":0.00002045253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002415014,"about_ca_topic_score_gemma":0.0004219774,"domain_scores_codex":[0.998359,0.000111287,0.0003363192,0.0004473023,0.0003540599,0.0003920872],"domain_scores_gemma":[0.9988942,0.00006444451,0.0001180421,0.0005474721,0.0003272016,0.00004870505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002607479,0.000767048,0.0006181359,0.0003702429,0.0007498332,0.0002330173,0.0004311187,0.0008041902,0.01475507,0.004292179,0.9208015,0.05591689],"study_design_scores_gemma":[0.002216041,0.00009851423,0.0246381,0.0007498919,0.002188952,0.0003376842,0.002192732,0.03801395,0.01955153,0.03793249,0.8702309,0.001849233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3449203,0.008438443,0.2180054,0.1506128,0.01575424,0.004628329,0.00004922326,0.006289281,0.2513019],"genre_scores_gemma":[0.9669607,0.0002537445,0.004738829,0.001853626,0.0003541545,0.00007204358,0.00006265909,0.00004524106,0.02565898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6220405,"threshold_uncertainty_score":0.8459182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02603991665124976,"score_gpt":0.2515071247986141,"score_spread":0.2254672081473644,"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."}}