{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00890538,0.0004596381,0.001011831,0.001516238,0.001922228,0.007583623,0.001264323,0.003905469,0.01149732],"category_scores_gemma":[0.05249649,0.0003810663,0.0006969675,0.001153361,0.006527241,0.006939949,0.00445828,0.004313662,0.0008664973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003295704,"about_ca_system_score_gemma":0.001302159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008006003,"about_ca_topic_score_gemma":0.0005676867,"domain_scores_codex":[0.9933317,0.00320267,0.0003336798,0.0006891242,0.001280699,0.001162135],"domain_scores_gemma":[0.9525773,0.03417659,0.005029164,0.003254764,0.002764831,0.002197356],"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":[0.0001411274,0.0001242665,0.00494163,0.00008485893,0.00003384725,0.0001996919,0.001701167,0.005104804,0.0007917872,0.9767372,0.001021978,0.009117628],"study_design_scores_gemma":[0.00004432384,0.00008223994,0.00279416,0.00003955236,0.00002138593,0.0001029626,0.002074752,0.00999938,0.0003663402,0.9814817,0.002971622,0.00002154187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5158269,0.0007946569,0.07988954,0.008670154,0.0002145303,0.0001366167,0.0001361942,0.000107174,0.3942242],"genre_scores_gemma":[0.9947951,0.00008383919,0.0009146564,0.0001773894,0.00003918058,0.00003452982,0.00001360649,0.00001048656,0.00393124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01149732,"threshold_uncertainty_score":0.04709673,"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."}}