{"id":"W7098971468","doi":"","title":"Autoregressive gamma process","year":2006,"lang":"en","type":"article","venue":"","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autoregressive model; STAR model; Smoothing; Ergodicity; SETAR; Nonlinear autoregressive exogenous model; Autoregressive integrated moving average; Inference","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":[0.001727923,0.001210535,0.000891193,0.001420976,0.0004066884,0.002512982,0.001174093,0.001607931,0.008733463],"category_scores_gemma":[0.006094095,0.0003612417,0.0009052248,0.002329135,0.001158561,0.002516584,0.001137309,0.002994748,0.003551589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019856,"about_ca_system_score_gemma":0.0008312046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003233906,"about_ca_topic_score_gemma":0.001812091,"domain_scores_codex":[0.9988876,0.0003229085,0.00006506999,0.0002811191,0.0003146112,0.0001287758],"domain_scores_gemma":[0.99827,0.0007222538,0.0003323161,0.0002577582,0.0003534165,0.00006412036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002392196,0.00003029047,0.001566399,0.0001129784,0.00004751846,0.000347224,0.0002194528,0.04916817,0.001424597,0.8914642,0.009916895,0.0456783],"study_design_scores_gemma":[0.00003251606,0.00008756317,0.002212047,0.0001276361,0.00008154518,0.0006889118,0.0001034193,0.2141086,0.001002858,0.6118343,0.1696316,0.0000890098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008808797,0.003538202,0.9531897,0.001400769,0.0007067781,0.0001192251,0.001461865,0.0007321037,0.03004253],"genre_scores_gemma":[0.5547123,0.01586524,0.3316063,0.00190091,0.003044246,0.0008934204,0.0038817,0.0004315111,0.08766439],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008733463,"threshold_uncertainty_score":0.02921629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003534102542481645,"score_gpt":0.1907513906512891,"score_spread":0.1872172881088075,"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."}}