{"id":"W2160430493","doi":"10.1111/j.1538-4632.2009.00751.x","title":"Topology and Dependency Tests in Spatial and Network Autoregressive Models","year":2009,"lang":"en","type":"article","venue":"Geographical Analysis","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Dependency (UML); Network topology; Computer science; Hierarchical network model; Topology (electrical circuits); Autoregressive model; Hierarchy; Context (archaeology); Cluster analysis; Spatial analysis; Data mining; Econometrics; Mathematics; Artificial intelligence; Statistics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0414703,0.0009245094,0.00173907,0.004250766,0.001376995,0.0028936,0.002773076,0.002108364,0.004475056],"category_scores_gemma":[0.3072593,0.0007647225,0.00192874,0.004126578,0.006295624,0.007614177,0.003434598,0.003290092,0.0004197359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619626,"about_ca_system_score_gemma":0.001489982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006370165,"about_ca_topic_score_gemma":0.0034245,"domain_scores_codex":[0.957232,0.03590322,0.001087632,0.002695061,0.002150751,0.0009313273],"domain_scores_gemma":[0.4214434,0.5390479,0.02175407,0.01112677,0.004437962,0.002189945],"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":[0.0006760818,0.0001801414,0.09997036,0.0001995873,0.001097325,0.001020795,0.001070212,0.4191804,0.0004360138,0.4357583,0.002080724,0.03832998],"study_design_scores_gemma":[0.00007897709,0.000169467,0.01208179,0.00004258305,0.0001059969,0.0001754404,0.0002327279,0.7418809,0.0004211812,0.2438828,0.0008662021,0.00006194391],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4125931,0.001080888,0.5750178,0.002349778,0.00009240083,0.0001473521,0.0007693299,0.0003727232,0.007576691],"genre_scores_gemma":[0.9748163,0.0003627763,0.02326442,0.0001012377,0.0001076426,0.0001370169,0.000429485,0.00005188923,0.000729216],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0414703,"threshold_uncertainty_score":0.2193186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680025700932348,"score_gpt":0.2194267735359835,"score_spread":0.2026265165266601,"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."}}