{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003848947,0.0008753525,0.0009073098,0.001544374,0.002210948,0.006094421,0.001684271,0.004044596,0.0115384],"category_scores_gemma":[0.01416884,0.000446806,0.001359102,0.001449032,0.006690401,0.006905153,0.004464081,0.003747927,0.00104457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003623475,"about_ca_system_score_gemma":0.001715279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004105531,"about_ca_topic_score_gemma":0.002280174,"domain_scores_codex":[0.9953318,0.002399983,0.0001477988,0.0004219971,0.0007951529,0.0009031317],"domain_scores_gemma":[0.9898302,0.005674226,0.00221541,0.0008715498,0.0006399669,0.0007686762],"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":[0.00006292843,0.0001408393,0.003013116,0.0000544407,0.00002288775,0.0002770879,0.001317126,0.06253959,0.000295119,0.9256597,0.0009275149,0.005689612],"study_design_scores_gemma":[0.000147459,0.0002135212,0.002464012,0.0001109616,0.00004739528,0.0002776356,0.00197,0.1450634,0.0003149302,0.832895,0.01643612,0.00005949696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3473119,0.001776455,0.1730159,0.0116044,0.000268492,0.0002744781,0.0003272008,0.0001318325,0.4652894],"genre_scores_gemma":[0.9803237,0.000595144,0.003582571,0.0002958506,0.0001063309,0.0001259625,0.00005791476,0.0000262782,0.01488618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0115384,"threshold_uncertainty_score":0.03859973,"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."}}