{"id":"W2942633122","doi":"10.1287/mnsc.2019.3292","title":"Relational Adaptation Under Reel Authority","year":2019,"lang":"en","type":"article","venue":"Management Science","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Adaptation (eye); Revenue; Business; Microeconomics; Discretion; Reel; Industrial organization; Computer science; Economics; Advertising; Finance; Law; Political 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":[0.007539494,0.0004305019,0.0007291166,0.0006920198,0.001450365,0.003395423,0.001255993,0.001799683,0.01248594],"category_scores_gemma":[0.03624014,0.0002910774,0.0006604315,0.0007494082,0.004342143,0.005599975,0.003706325,0.002433096,0.001006174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002204188,"about_ca_system_score_gemma":0.001221922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00472836,"about_ca_topic_score_gemma":0.002126153,"domain_scores_codex":[0.9928936,0.003832997,0.0002057776,0.001092332,0.0008562828,0.001118905],"domain_scores_gemma":[0.9766,0.01107141,0.005978387,0.003073005,0.001264459,0.002012834],"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":[0.0003180047,0.0002797047,0.01187726,0.00006544657,0.00006894233,0.0011101,0.002709589,0.05971988,0.002269653,0.8970073,0.001403297,0.02317078],"study_design_scores_gemma":[0.0002119368,0.0002135386,0.007553757,0.00002568667,0.00004366092,0.0003978514,0.00229193,0.2095318,0.0008132749,0.7722802,0.006569509,0.00006700592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7582207,0.0003624453,0.1192088,0.003912216,0.0000369013,0.000180972,0.0001815913,0.0001623445,0.1177339],"genre_scores_gemma":[0.9933357,0.00007252872,0.002312867,0.0001195597,0.00002529007,0.00003450962,0.0000196721,0.00001174187,0.00406806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01248594,"threshold_uncertainty_score":0.04176968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06223669045640105,"score_gpt":0.225772816986702,"score_spread":0.163536126530301,"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."}}