{"id":"W2760633372","doi":"","title":"Statistical Methods for Ecological Breakpoints and Prediction Intervals","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Segmented regression; Quantile; Proper linear model; Mathematics; Statistics; Regression analysis; Nonparametric statistics; Linear regression; Nonparametric regression; Piecewise linear function; Linear model; Ecology; Econometrics; Bayesian multivariate linear regression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005110898,0.0001823617,0.0002527624,0.00003623561,0.0002376608,0.00007166158,0.0003303715,0.0002226809,0.0004107499],"category_scores_gemma":[0.0003714922,0.0001915648,0.00006872136,0.00003289526,0.0003539181,0.00009034153,0.001366845,0.0002447806,0.00003750212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001574776,"about_ca_system_score_gemma":0.00001872663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002579792,"about_ca_topic_score_gemma":0.0000672506,"domain_scores_codex":[0.9987299,0.0001253371,0.0001465759,0.0007171426,0.00004044578,0.0002405807],"domain_scores_gemma":[0.9988949,0.0003815324,0.0001712721,0.0003795059,0.00001905035,0.0001537292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008624303,0.0009813358,0.2730654,0.0008903698,0.0007370508,0.0005711681,0.001084075,0.06826131,0.0009000489,0.2596819,0.03129718,0.3616677],"study_design_scores_gemma":[0.0006225556,0.0001675033,0.275434,0.00005183782,0.0001959505,0.000007278433,0.00005906104,0.4074264,0.00002823255,0.3083444,0.007306376,0.0003564195],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1291636,0.00001192358,0.8646606,0.00004879676,0.0004446948,0.0003974281,0.0003129152,0.00004796123,0.004912144],"genre_scores_gemma":[0.9540562,0.0001144729,0.04447095,0.00005154557,0.00004632243,0.000004366433,0.00006714444,0.00001309847,0.001175875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8248926,"threshold_uncertainty_score":0.7811786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09883656146218513,"score_gpt":0.2657500375494611,"score_spread":0.166913476087276,"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."}}