{"id":"W2028037067","doi":"10.4141/cjss08076","title":"Opportunities for, and limitations of, near infrared reflectance spectroscopy applications in soil analysis: A review","year":2009,"lang":"en","type":"review","venue":"Canadian Journal of Soil Science","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Correlation coefficient; Standard deviation; Soil test; Near infrared reflectance spectroscopy; Statistics; Standard error; Calibration; Coefficient of determination; Environmental science; Sample (material); Linear regression; Regression analysis; Near-infrared spectroscopy; Mathematics; Soil science; Chemistry; Soil water; Chromatography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0011421,0.000178072,0.0008961991,0.0005576015,0.0002592887,0.00009123342,0.0005931911,0.00005897804,0.00002402725],"category_scores_gemma":[0.0006102876,0.0001566982,0.000187394,0.002636652,0.0008932756,0.0002390511,0.00002766063,0.0001984438,0.000001827297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003903729,"about_ca_system_score_gemma":0.002667271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001752335,"about_ca_topic_score_gemma":0.05565795,"domain_scores_codex":[0.9982679,0.00004762589,0.0007877834,0.000257268,0.0002868526,0.000352565],"domain_scores_gemma":[0.9981182,0.0002403408,0.0007859293,0.0002525351,0.00009946798,0.0005034788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[8.869856e-7,0.00001700821,0.0002952796,0.002167137,0.00005843254,0.0000212867,0.0003046796,0.0001770146,0.000002977838,0.00144984,0.001371045,0.9941344],"study_design_scores_gemma":[0.00007911343,0.00008682554,0.001230206,0.007674024,0.000993971,0.00003770757,0.0001229198,0.0001907057,0.000001239796,0.002484259,0.9868392,0.0002598385],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007140502,0.9929167,0.001022254,0.0001532882,0.00004543924,0.0003995606,0.00006359103,0.000002018402,0.005325757],"genre_scores_gemma":[0.0002513746,0.9941272,0.005292921,0.000152851,0.00001724521,0.00003051926,0.00001030838,0.000007952983,0.0001096919],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9938745,"threshold_uncertainty_score":0.9615738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1025664543758114,"score_gpt":0.3228218183182536,"score_spread":0.2202553639424422,"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."}}