{"id":"W2957693594","doi":"10.1038/s41562-019-0638-y","title":"Emergence of scaling in complex substitutive systems","year":2019,"lang":"en","type":"article","venue":"Nature Human Behaviour","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Substitution (logic); Scaling; Tracing; Computer science; Exponential growth; Power law; Complex system; Scaling law; Dynamics (music); Integer (computer science); Exponential function; Power (physics); Statistical physics; Econometrics; Mathematics; Artificial intelligence; Psychology; Physics; Statistics","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":[0.001001445,0.0002242902,0.0007851481,0.0008186392,0.000741743,0.002026161,0.0006516808,0.0009521233,0.004028244],"category_scores_gemma":[0.008917897,0.0004096977,0.0005234583,0.0003993595,0.002542008,0.00252875,0.001077485,0.0009081881,0.0002063843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007746528,"about_ca_system_score_gemma":0.0003319954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001052356,"about_ca_topic_score_gemma":0.0008898405,"domain_scores_codex":[0.9995844,0.0001654323,0.00001752,0.00007057322,0.00009806114,0.00006401976],"domain_scores_gemma":[0.9941416,0.004027642,0.0005992473,0.0004994978,0.0003157405,0.0004162764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007929567,0.0001023604,0.005846757,0.000172428,0.00008321972,0.0004918273,0.0007421941,0.05084023,0.008398549,0.9151168,0.002617883,0.01550855],"study_design_scores_gemma":[0.0000299795,0.00004874504,0.005374355,0.00001950803,0.00001296935,0.0001717456,0.000188151,0.240385,0.0004010727,0.7521783,0.001163941,0.00002626555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8802673,0.0007186111,0.09138241,0.001697675,0.00008508837,0.00004719978,0.0001325225,0.0002517599,0.02541754],"genre_scores_gemma":[0.995267,0.0001522284,0.00360917,0.00004543871,0.00004173159,0.00002039546,0.00002437337,0.00001833321,0.0008213446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004028244,"threshold_uncertainty_score":0.01347578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335618289644868,"score_gpt":0.3151415914375418,"score_spread":0.3017854085410931,"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."}}