{"id":"W3035465462","doi":"","title":"Non-Parametric Approach for Trend Delineation in the Canadian Prairie","year":2006,"lang":"en","type":"article","venue":"AGUFM","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00288521,0.0003633701,0.0005908419,0.001060172,0.001002427,0.0009766704,0.001864807,0.0006080308,0.002201011],"category_scores_gemma":[0.0104736,0.0003266139,0.0007436458,0.001290143,0.0006001519,0.0005412251,0.0007724528,0.000902383,0.0002284479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002608082,"about_ca_system_score_gemma":0.006647278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5461051,"about_ca_topic_score_gemma":0.6169534,"domain_scores_codex":[0.9991211,0.0003486666,0.0000434307,0.000158511,0.0002177944,0.0001103322],"domain_scores_gemma":[0.9975554,0.001617282,0.0001254604,0.0001850714,0.0004694143,0.00004745919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002535046,0.00009414675,0.02089286,0.0001378614,0.0002138564,0.0002083177,0.0005524643,0.5795619,0.003134486,0.01804508,0.003726392,0.373179],"study_design_scores_gemma":[0.000008353355,0.00001827412,0.008667969,0.000006713351,0.00001439759,0.00003903799,0.00008768802,0.9864109,0.0003052765,0.003017576,0.001406982,0.00001686346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2044047,0.0004467701,0.7897432,0.0004363995,0.00003317921,0.0001050734,0.001130328,0.001119954,0.002580373],"genre_scores_gemma":[0.7236664,0.0001871865,0.2699032,0.00006401419,0.00002238099,0.0001726698,0.001098372,0.0001938065,0.004691979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4538949,"threshold_uncertainty_score":0.9131359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602967717686555,"score_gpt":0.2313979155512796,"score_spread":0.2153682383744141,"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."}}