{"id":"W4412739983","doi":"10.2139/ssrn.5368979","title":"Managing Consumer Attention to Diverse Information Sources in Product Diffusion","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Diffusion; Product (mathematics); Business; Marketing; Computer science; Physics; Mathematics","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":[0.003589405,0.0005335448,0.0007394951,0.002902872,0.0008693144,0.005770723,0.0006667246,0.002213135,0.003630656],"category_scores_gemma":[0.03260799,0.0007602511,0.0004745525,0.0018178,0.0007961987,0.006534558,0.002721913,0.00169831,0.0004180917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304619,"about_ca_system_score_gemma":0.0006890712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00337754,"about_ca_topic_score_gemma":0.003786906,"domain_scores_codex":[0.9980677,0.0007499382,0.00008871951,0.0003110532,0.0005902714,0.0001922956],"domain_scores_gemma":[0.9648827,0.02856135,0.002573181,0.0008529481,0.002190565,0.0009392187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005156701,0.002926693,0.3214048,0.0006813668,0.000760132,0.001508386,0.01517403,0.02410747,0.05755303,0.02972138,0.005728835,0.5352772],"study_design_scores_gemma":[0.0004896926,0.001678503,0.3917134,0.0002396111,0.001601966,0.001290394,0.01417553,0.4480241,0.02337853,0.108343,0.008794062,0.0002713371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9704831,0.0006723785,0.01051976,0.001090592,0.00003439156,0.00005766587,0.00005009859,0.00008998022,0.01700212],"genre_scores_gemma":[0.9968658,0.0001467321,0.00201347,0.00009619824,0.00004079794,0.00001649549,0.00002642958,0.00002347581,0.0007704966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005770723,"threshold_uncertainty_score":0.01898283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049600325007011,"score_gpt":0.2357640287258522,"score_spread":0.2252680254757821,"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."}}