{"id":"W4225329976","doi":"10.3386/w29996","title":"AI Adoption in a Competitive Market","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Industrial organization","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":[0.002868625,0.0003703506,0.0004570531,0.0007272727,0.001017153,0.004616999,0.0009332418,0.002443231,0.01006727],"category_scores_gemma":[0.008648919,0.0002598077,0.0007029086,0.0008809672,0.002305232,0.007393564,0.002127201,0.001867708,0.001077797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002407518,"about_ca_system_score_gemma":0.001838495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006377739,"about_ca_topic_score_gemma":0.004872069,"domain_scores_codex":[0.9979194,0.0007618303,0.00006132799,0.0003060063,0.0005357421,0.0004155626],"domain_scores_gemma":[0.9945181,0.002684498,0.001002928,0.000370811,0.0008139627,0.000609613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000287558,0.0008291223,0.02062208,0.0001514127,0.00006279882,0.0009386728,0.001696096,0.04454243,0.001679545,0.8713958,0.006295953,0.05149843],"study_design_scores_gemma":[0.0003395404,0.001651543,0.03166819,0.0002005461,0.0001246136,0.0006310358,0.004771166,0.3092706,0.001815703,0.5656318,0.08371969,0.0001754688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6349306,0.00112534,0.03577115,0.0100608,0.0001239518,0.0002621726,0.0002840672,0.000153913,0.317288],"genre_scores_gemma":[0.9901031,0.0004692053,0.002134202,0.0003476445,0.00007207179,0.00006664629,0.00006524103,0.00001211203,0.006729708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01006727,"threshold_uncertainty_score":0.03367841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4353938362066505,"score_gpt":0.5062838383305354,"score_spread":0.07089000212388485,"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."}}