{"id":"W1710009588","doi":"10.1111/j.1745-4603.2010.00253.x","title":"PRINCIPAL COMPONENT ANALYSIS FOR TEXTURAL PROPERTIES OF SELECTED BLOOD CURD","year":2010,"lang":"en","type":"article","venue":"Journal of Texture Studies","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Chewiness; Principal component analysis; Food science; Tenderness; Shelf life; Moisture; Sensory analysis; Mathematics; Statistical analysis; Texture (cosmology); Chemistry; Materials science; Computer science; Artificial intelligence; Statistics; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005215816,0.0006198865,0.0004943945,0.0017482,0.0002134111,0.0004150229,0.0001546658,0.0001875766,0.002506227],"category_scores_gemma":[0.001132061,0.00009219826,0.000613814,0.002073676,0.000193999,0.0002224312,0.0001811396,0.0002929631,0.0003750667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00018633,"about_ca_system_score_gemma":0.00027811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001934233,"about_ca_topic_score_gemma":0.001518019,"domain_scores_codex":[0.9997194,0.00003703476,0.00002536491,0.00005392309,0.0001250292,0.00003918737],"domain_scores_gemma":[0.9995448,0.0001391303,0.0000602735,0.0000204126,0.0002108993,0.00002448266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00127874,0.0003183269,0.04349901,0.0007559104,0.000285246,0.00028715,0.000594519,0.002204697,0.712956,0.0003813476,0.0008042922,0.2366347],"study_design_scores_gemma":[0.00004930751,0.00122897,0.866112,0.00003844492,0.0003594387,0.0004303096,0.0005000095,0.02910067,0.09668239,0.0004472737,0.004956204,0.00009495555],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673107,0.0006216526,0.02849332,0.00005926808,0.00003138571,0.0002100058,0.001892949,0.000217708,0.00116303],"genre_scores_gemma":[0.9745237,0.0003240141,0.02165844,0.00002134903,0.00001452405,0.000225664,0.002042101,0.00004788566,0.001142317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002506227,"threshold_uncertainty_score":0.008384168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0694914198719675,"score_gpt":0.2914031789004122,"score_spread":0.2219117590284447,"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."}}