{"id":"W2111270009","doi":"10.1111/j.1745-4603.2000.tb00298.x","title":"EVALUATION OF LENTIL TEXTURE MEASUREMENTS BY COMPRESSION TESTING","year":2000,"lang":"en","type":"article","venue":"Journal of Texture Studies","topic":"Food composition and properties","field":"Nursing","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Canadian International Grains Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; University of Manitoba","keywords":"Texture (cosmology); Compression (physics); Sample size determination; Sample (material); Statistics; Mathematics; Materials science; Composite material; Artificial intelligence; Computer science; Chromatography; Chemistry","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":[0.001347504,0.000131665,0.0003161835,0.00007516277,0.0001715261,0.00002122325,0.000138585,0.00005409761,0.0001506279],"category_scores_gemma":[0.0004107467,0.00008740347,0.00009879363,0.0001472909,0.00007032864,0.0001864745,0.00001973074,0.0002151507,0.000005601675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009639888,"about_ca_system_score_gemma":0.00002764599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006003543,"about_ca_topic_score_gemma":0.000003500476,"domain_scores_codex":[0.99771,0.0003312923,0.0004956186,0.00009760063,0.001237973,0.0001275163],"domain_scores_gemma":[0.9975166,0.00007703793,0.0004137138,0.0001043474,0.00184919,0.00003912393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009874849,0.0002328014,0.001559043,0.0001087756,0.0004751853,0.000001679628,0.00283881,0.001733235,0.1139124,4.354131e-7,0.08216979,0.7959803],"study_design_scores_gemma":[0.03087948,0.02588712,0.07433828,0.02439705,0.01151736,0.0009552544,0.02108774,0.02058481,0.5332335,0.008693866,0.2456616,0.002763903],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8731019,0.1106012,0.00001457411,0.003447829,0.001447087,0.0002849345,0.00001174027,0.00003043672,0.01106032],"genre_scores_gemma":[0.9989364,0.0001057753,0.0004382453,0.0001981816,0.0001876476,0.000001867905,0.000001112521,0.00001051844,0.0001202755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7932164,"threshold_uncertainty_score":0.356421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2005890654470595,"score_gpt":0.3764131665683993,"score_spread":0.1758241011213399,"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."}}