{"id":"W1988549788","doi":"10.1016/j.physa.2006.10.002","title":"Is the classical autocorrelation function appropriate for spatial signals defined on fractal supports?","year":2006,"lang":"en","type":"article","venue":"Physica A Statistical Mechanics and its Applications","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Autocorrelation; Fractal; Uniqueness; Statistical physics; Mathematics; Context (archaeology); Exponent; Autocorrelation technique; Power function; Power law; Function (biology); Degeneracy (biology); Spatial analysis; Mathematical analysis; Statistics; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001883775,0.0001551691,0.0002918541,0.00005944913,0.0003795485,0.0001079616,0.00009931604,0.00006702459,0.0002861312],"category_scores_gemma":[0.00004284306,0.0001329001,0.0001127783,0.0001847873,0.00002047766,0.00007213162,0.00003279998,0.0001127732,0.0001908358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003155225,"about_ca_system_score_gemma":0.00001301273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001671317,"about_ca_topic_score_gemma":0.00003107897,"domain_scores_codex":[0.9987678,0.00001339918,0.0004940628,0.0004398269,0.00006801426,0.0002168971],"domain_scores_gemma":[0.9990235,0.0003269184,0.0002755321,0.0002423194,0.00006759125,0.00006411985],"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":[0.00002531121,0.0001325408,0.00001980133,0.00001727208,0.00004015077,7.849823e-8,0.00002011068,0.00006746427,0.00009619984,0.9935943,0.002104633,0.003882159],"study_design_scores_gemma":[0.0002058,0.0001222517,0.001305228,0.000002931269,0.00004039805,4.300326e-7,0.00001105601,0.3516319,0.00001929166,0.5675823,0.07895065,0.0001278357],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001005177,0.0000884781,0.9920514,0.002752275,0.00007112256,0.001054372,0.001465863,0.00003424833,0.00147707],"genre_scores_gemma":[0.9965915,0.00001145353,0.0009946652,0.0002096787,0.000328971,0.001019395,0.0002716956,0.00002370826,0.0005489138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9955863,"threshold_uncertainty_score":0.541951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227752260389595,"score_gpt":0.2337610648456586,"score_spread":0.2109858388066991,"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."}}