{"id":"W4281665292","doi":"10.3386/w30092","title":"Internal Disagreement and Disruptive Technologies","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":[0.0122679,0.000114487,0.0002958293,0.0004880402,0.0007667119,0.0001689058,0.0006110278,0.0003783871,0.001099717],"category_scores_gemma":[0.007494811,0.0001185944,0.0001001624,0.0001514905,0.001703934,0.0002104195,0.0006102027,0.001279337,0.00001556511],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003251398,"about_ca_system_score_gemma":0.006319123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03268855,"about_ca_topic_score_gemma":0.007379838,"domain_scores_codex":[0.9960835,0.0002991186,0.0003634103,0.000336865,0.0025548,0.0003623],"domain_scores_gemma":[0.9963699,0.00156328,0.0002390503,0.0001383671,0.001608288,0.00008109141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001805874,0.00004774462,0.001112468,0.00004407295,0.000138498,0.000003682458,0.003973406,0.000006554808,0.000005027633,0.9299188,0.05766651,0.007065138],"study_design_scores_gemma":[0.0001088555,0.00009795396,0.0003721036,0.00004731296,0.000006800674,0.000001345801,0.01428507,0.00000683555,0.00001047566,0.7288074,0.2561297,0.0001260968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002412301,0.001130602,7.545623e-7,0.01389035,0.0004879709,0.0003799594,0.000134837,0.00002862767,0.9815346],"genre_scores_gemma":[0.9484608,0.0200907,0.0000674478,0.0000257849,0.0006690398,0.00009410852,0.00008918194,0.00002152277,0.03048148],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9510531,"threshold_uncertainty_score":0.9998134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.565587195724556,"score_gpt":0.635558098210213,"score_spread":0.06997090248565707,"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."}}