{"id":"W1611105082","doi":"10.1111/2041-210x.12407","title":"Generating spatially constrained null models for irregularly spaced data using <scp>M</scp>oran spectral randomization methods","year":2015,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Autocorrelation; Mathematics; Statistics; Type I and type II errors; Spatial analysis; Algorithm; Restricted randomization; Statistical hypothesis testing; Factorial; Randomization","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.006385471,0.0001487605,0.0003025582,0.0000843712,0.0001854565,0.00003739933,0.0001668882,0.000147713,0.00001125878],"category_scores_gemma":[0.003459485,0.0001534945,0.00002645144,0.0001911726,0.0002763294,0.0003666813,0.000208079,0.0001274427,0.000001480431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002185384,"about_ca_system_score_gemma":0.00007761019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006727239,"about_ca_topic_score_gemma":0.001275501,"domain_scores_codex":[0.9975937,0.001160708,0.0003482818,0.0004521114,0.00009709143,0.0003480982],"domain_scores_gemma":[0.9982648,0.001186919,0.0001730307,0.0002453786,0.00003017512,0.00009971503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002003713,0.0001157612,0.03501965,0.00004008396,0.00005855685,0.000007581676,0.001857795,0.8458331,0.05465289,0.009445626,0.0006280195,0.05214062],"study_design_scores_gemma":[0.002682089,0.00006885506,0.006925196,0.000007428941,0.00004986257,0.00001911393,0.0003437392,0.9332486,0.0003404794,0.05600198,0.0002273719,0.00008524061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1230284,0.0001109895,0.8752629,0.00007360816,0.0004350402,0.0004583947,0.00002089707,0.00002312898,0.0005866705],"genre_scores_gemma":[0.137401,0.000009671106,0.8622839,0.00006684211,0.00007369863,0.00002497412,0.00006372295,0.00001285727,0.00006337246],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0874156,"threshold_uncertainty_score":0.6259325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0946685942089314,"score_gpt":0.376660171269256,"score_spread":0.2819915770603246,"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."}}