{"id":"W1983738395","doi":"10.4141/cjss07053","title":"A relative weight model for soil productivity assessment","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Missouri","keywords":"Loess plateau; Constraint (computer-aided design); Productivity; Soil science; Environmental science; Loess; Agricultural engineering; Measure (data warehouse); Weight function; Mathematics; Computer science; Statistics; Geology; Data mining; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001563512,0.0001040914,0.0001912029,0.0001551504,0.0008900932,0.00004142848,0.0005178204,0.0000388675,0.0001906298],"category_scores_gemma":[0.0003596245,0.00008046377,0.0001299219,0.0007245357,0.001516976,0.001047041,0.00003318815,0.0001834095,0.00001388916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000758243,"about_ca_system_score_gemma":0.002062362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01091072,"about_ca_topic_score_gemma":0.1002336,"domain_scores_codex":[0.9984677,0.00003286404,0.0002716427,0.0002777789,0.0005041235,0.0004458545],"domain_scores_gemma":[0.9987073,0.00005311965,0.0001674067,0.0002176611,0.000113117,0.0007414159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001782555,0.00008750363,0.8296323,0.000007200949,0.00002860191,0.00005776128,0.005367146,0.1508097,0.001006793,0.0006884488,0.003362701,0.008933972],"study_design_scores_gemma":[0.000546126,0.0002007154,0.572526,0.00002048616,0.00006049005,0.0002307091,0.0002571779,0.4091286,0.0008986699,0.01250328,0.003269514,0.0003582622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812996,0.00004695652,0.009433428,0.001713875,0.000170111,0.00009262824,0.000009173275,0.000003906215,0.007230359],"genre_scores_gemma":[0.9954634,0.00001014804,0.0032878,0.0001329646,0.00006148362,0.000004898476,4.057036e-7,0.000005076222,0.001033856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2583189,"threshold_uncertainty_score":0.9956757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219462415212456,"score_gpt":0.2381827895677828,"score_spread":0.2159881654156583,"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."}}