{"id":"W4385364043","doi":"10.2139/ssrn.4518248","title":"Private Signals and Fast Product Adoption Under Incomplete Information","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Product (mathematics); Private information retrieval; Computer science; Computer security; 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":[0.006405435,0.000476723,0.001717191,0.001054937,0.0006019048,0.003261009,0.0008583614,0.003088802,0.008388049],"category_scores_gemma":[0.03542083,0.0008104916,0.0009142325,0.0009200628,0.002208451,0.005875485,0.001552075,0.003105397,0.0005463309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256494,"about_ca_system_score_gemma":0.0008552769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001825536,"about_ca_topic_score_gemma":0.001466023,"domain_scores_codex":[0.9980172,0.0007873892,0.0001005367,0.0003676687,0.000332001,0.0003951356],"domain_scores_gemma":[0.9201376,0.06502769,0.009399264,0.002821383,0.001511654,0.001102401],"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":[0.003652482,0.001264293,0.06593093,0.00131644,0.0006289859,0.002438792,0.002557939,0.1770148,0.01423776,0.6188564,0.004172795,0.1079284],"study_design_scores_gemma":[0.0003989589,0.001109255,0.0476464,0.0001226196,0.0002929786,0.0006124161,0.001460574,0.301226,0.003239373,0.6403714,0.003347336,0.0001726725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9152347,0.0008388598,0.06504962,0.002302392,0.00003948797,0.00009492432,0.0002718283,0.0001228417,0.0160454],"genre_scores_gemma":[0.9936357,0.0002919633,0.003314845,0.0000915221,0.00003078562,0.00002719222,0.00004123258,0.0000102712,0.002556471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008388049,"threshold_uncertainty_score":0.03387552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04872784675753235,"score_gpt":0.334652189400914,"score_spread":0.2859243426433817,"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."}}