{"id":"W1987794588","doi":"10.5539/jfr.v1n4p55","title":"Near-infrared Spectroscopy for Rapid Estimation of Dry Matter Content in Whole Unpeeled Potato Tubers","year":2012,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dry matter; Near-infrared spectroscopy; Chemistry; Penetration depth; Water content; Food science; Animal science; Analytical Chemistry (journal); Chromatography; Physics; Biology; Optics; Geology","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":[0.0004790351,0.0004732435,0.0002976476,0.0004440359,0.0001212681,0.0002908569,0.0002205715,0.0003343573,0.0005624305],"category_scores_gemma":[0.000539118,0.0002167475,0.0002235595,0.0004530879,0.00009145457,0.0002730877,0.0002477213,0.0003624923,0.0003498684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009613908,"about_ca_system_score_gemma":0.0001313834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009321234,"about_ca_topic_score_gemma":0.002271672,"domain_scores_codex":[0.9997314,0.00004998687,0.00001171873,0.0001020287,0.00009290745,0.00001193961],"domain_scores_gemma":[0.9998023,0.00006554949,0.00004825201,0.00001660968,0.00005880528,0.000008486111],"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":[0.0002468778,0.00007280688,0.0156183,0.0001780778,0.00006563817,0.00009827696,0.00008052518,0.00114535,0.9460088,0.00005262379,0.0001643362,0.03626851],"study_design_scores_gemma":[0.00003730256,0.001170508,0.2905152,0.00006624734,0.0003406842,0.0008734509,0.0004288556,0.07390942,0.6276745,0.0002615227,0.004625458,0.00009689196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303333,0.00169623,0.06562433,0.00003130034,0.00002203207,0.00004548625,0.0005700103,0.0004032594,0.00127394],"genre_scores_gemma":[0.8958574,0.001342538,0.1001992,0.0000664618,0.0000110771,0.00008703423,0.00077946,0.00004835581,0.001608479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009321234,"threshold_uncertainty_score":0.002533376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09318442292819977,"score_gpt":0.3826992524167055,"score_spread":0.2895148294885058,"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."}}