{"id":"W4293211198","doi":"10.2139/ssrn.4117687","title":"Internal Disagreement and Disruptive Technologies","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Disruptive technology; Business; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.004727535,0.00008208265,0.0001184159,0.0001595855,0.0006992801,0.0001153665,0.0007885656,0.0000178608,0.000248095],"category_scores_gemma":[0.0002886205,0.00005917872,0.00006221644,0.000352818,0.0001290727,0.0001375863,0.0004489607,0.001348836,0.00004290757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328995,"about_ca_system_score_gemma":0.0002757827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007983504,"about_ca_topic_score_gemma":0.00006413252,"domain_scores_codex":[0.9978996,0.0001570024,0.0002815065,0.0002248241,0.0006103108,0.0008267363],"domain_scores_gemma":[0.999276,0.0002349346,0.0001784158,0.0002265057,0.00004831631,0.00003581785],"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":[0.00003813142,0.0000470655,0.0027089,1.828082e-7,0.00003124398,0.000002271773,0.0004371888,0.00004056348,0.0002992221,0.7689487,0.0002845803,0.2271619],"study_design_scores_gemma":[0.0001813605,0.0002289731,0.000664484,0.00000115395,0.000007250773,0.0005491535,0.05602983,0.0000764606,0.00007795464,0.9230261,0.01908658,0.00007067829],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556472,0.002260024,0.03001008,0.00859663,0.0001573484,0.0001388571,0.00001113079,0.00006343521,0.003115257],"genre_scores_gemma":[0.9949082,0.0003429744,0.00005763796,0.00005989597,0.00003382897,0.00002539296,5.380042e-7,0.000005246986,0.004566343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2270912,"threshold_uncertainty_score":0.5860094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104383603149942,"score_gpt":0.3450705122822495,"score_spread":0.3140266762507501,"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."}}