{"id":"W4416000706","doi":"10.5465/amproc.2025.22790symposium","title":"AI in Action: Studying Algorithms in Real World Contexts","year":2025,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Alberta","funders":"","keywords":"Unintended consequences; Key (lock); Empirical research; Flexibility (engineering); Dynamics (music)","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":[0.01026826,0.0005992853,0.0009672081,0.002968356,0.003991073,0.01450556,0.002451007,0.00404429,0.003101389],"category_scores_gemma":[0.02507106,0.0006815065,0.001097091,0.002963,0.02113606,0.01403446,0.004289334,0.004891695,0.0004696764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003687965,"about_ca_system_score_gemma":0.002714122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003168174,"about_ca_topic_score_gemma":0.003282832,"domain_scores_codex":[0.9918038,0.006336478,0.0001931835,0.0006065911,0.000664828,0.0003951879],"domain_scores_gemma":[0.9743859,0.02251861,0.0007315274,0.001149127,0.0005241419,0.0006907404],"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":[0.00002907322,0.0001602891,0.005715179,0.0003582076,0.00007788592,0.0002291844,0.03582034,0.01521745,0.0006882569,0.9124182,0.002626752,0.02665916],"study_design_scores_gemma":[0.00003192971,0.00009243259,0.004775158,0.0004304412,0.00003438421,0.0002460491,0.03851114,0.03598487,0.0004901304,0.8544381,0.06489715,0.00006821391],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3269435,0.02481819,0.4344063,0.06972554,0.001117812,0.0005107104,0.0002782702,0.0003311449,0.1418686],"genre_scores_gemma":[0.9085562,0.007416755,0.07666834,0.001505815,0.000409672,0.0005531508,0.0001164291,0.00009647495,0.004677163],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01450556,"threshold_uncertainty_score":0.05430436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08788349370786218,"score_gpt":0.4371834933405201,"score_spread":0.349299999632658,"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."}}