{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006217833,0.0001898406,0.0003928803,0.002170075,0.0001370097,0.0001756084,0.0007240726,0.0002127195,0.0266608],"category_scores_gemma":[0.001067451,0.000207529,0.0001102167,0.0006519809,0.0001864085,0.0008271558,0.0007176074,0.000990127,0.000415719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469878,"about_ca_system_score_gemma":0.001650052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007769998,"about_ca_topic_score_gemma":0.001686838,"domain_scores_codex":[0.9966455,0.00005335482,0.0006522732,0.0005215665,0.001776548,0.0003508112],"domain_scores_gemma":[0.9970567,0.0003712967,0.0003685825,0.0002682752,0.001923657,0.00001150853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001247762,0.000151889,0.005000232,0.0006919588,0.00004947,0.00001166063,0.000008492673,0.000326712,0.000007440547,0.504997,0.48587,0.002760331],"study_design_scores_gemma":[0.000242678,0.00001222265,0.006815373,0.0002370676,0.00001011432,0.000006900568,0.0001230639,0.001970808,0.000005921458,0.1199354,0.8703948,0.0002456223],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0005527604,0.0002925968,0.000005638874,0.001536199,0.0008881741,0.0004472657,0.000132195,0.00001693853,0.9961283],"genre_scores_gemma":[0.9440338,0.002367995,0.0000975867,0.0007231999,0.00737933,0.0005742263,0.008448934,0.0001322416,0.03624269],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9598855,"threshold_uncertainty_score":0.9988374,"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."}}