{"id":"W4411061749","doi":"10.3390/risks13060110","title":"Stock Returns’ Co-Movement: A Spatial Model with Convex Combination of Connectivity Matrices","year":2025,"lang":"en","type":"article","venue":"Risks","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Hearst","funders":"Al-Imam Muhammad Ibn Saud Islamic University","keywords":"Stock (firearms); Movement (music); Regular polygon; Econometrics; Financial economics; Economics; Mathematics; Geography; Geometry; Physics","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":[0.001713937,0.0009702894,0.001037299,0.001640768,0.0005846257,0.002179863,0.002197395,0.001397087,0.002603041],"category_scores_gemma":[0.007252182,0.0009679773,0.00159372,0.002010244,0.001685619,0.003472829,0.00186897,0.001715156,0.0004567073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441311,"about_ca_system_score_gemma":0.000661397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02907911,"about_ca_topic_score_gemma":0.01562616,"domain_scores_codex":[0.9990508,0.0003911098,0.00003614707,0.0002880246,0.00009402349,0.0001399478],"domain_scores_gemma":[0.9955947,0.002224756,0.001189987,0.0003191157,0.0004001939,0.0002712425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009977131,0.00004221925,0.01394831,0.00002848332,0.0001491177,0.0004079166,0.0002193798,0.935041,0.0005746597,0.04232457,0.0007567142,0.00640789],"study_design_scores_gemma":[0.000005191338,0.00001355286,0.001147698,0.000003311758,0.00001633388,0.00003325657,0.0000326418,0.993357,0.00003947598,0.005171018,0.0001729815,0.000007435639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6498816,0.0006041626,0.3408631,0.001708192,0.00005002063,0.00008904777,0.0007585435,0.0002169896,0.005828298],"genre_scores_gemma":[0.9869304,0.000298198,0.007922757,0.00006324888,0.00002952315,0.00005458554,0.0003186093,0.00003976766,0.004343036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02907911,"threshold_uncertainty_score":0.05781972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237779194758526,"score_gpt":0.2663688864418151,"score_spread":0.2239910944942298,"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."}}