{"id":"W1987872281","doi":"10.1016/j.saa.2013.10.034","title":"Explore protein molecular structure in endosperm tissues in newly developed black and yellow type canola seeds by using synchrotron-based Fourier transform infrared microspectroscopy","year":2013,"lang":"en","type":"article","venue":"Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Saskatchewan","funders":"Brookhaven National Laboratory","keywords":"Canola; Endosperm; Amide; Fourier transform infrared spectroscopy; Chemistry; Fourier transform; Biology; Botany; Food science; Biochemistry; Mathematics; Optics; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001251303,0.0006330714,0.0006103369,0.0001364482,0.0001814892,0.0002992409,0.0003871679,0.000304109,0.0002248062],"category_scores_gemma":[0.00002543669,0.0003923794,0.0001163126,0.001128483,0.0002869874,0.000263051,0.0000983828,0.0004623706,0.000009423336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000186175,"about_ca_system_score_gemma":0.0001076345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001108911,"about_ca_topic_score_gemma":0.00053426,"domain_scores_codex":[0.9968446,0.0001371418,0.0005747132,0.001034094,0.0003811234,0.001028319],"domain_scores_gemma":[0.9991617,0.000028364,0.0001519446,0.0002663725,0.00007924659,0.0003124132],"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":[0.00009023937,0.000147118,0.000919249,0.00002825145,0.00003913864,0.00005466488,0.0001310698,0.000003688492,0.9978163,0.0001102138,0.0001902087,0.0004699029],"study_design_scores_gemma":[0.001033766,0.0004438453,0.002304109,0.000113217,0.00003984864,0.00002400539,0.0001662076,0.001173598,0.9892073,0.002635301,0.002122544,0.0007362077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994081,0.0008240394,0.0003999415,0.002257151,0.00003266592,0.001886266,0.00009795714,0.00007065509,0.0003503541],"genre_scores_gemma":[0.991958,0.0001844254,0.006579066,0.0007148345,0.00005473624,0.0001258457,0.0003247435,0.0000213525,0.00003696461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008608905,"threshold_uncertainty_score":0.9998528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009977703822979056,"score_gpt":0.2334458664543865,"score_spread":0.2234681626314074,"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."}}