{"id":"W4400449324","doi":"10.5465/amproc.2024.18066symposium","title":"“Problems” with AI: How Artificial Intelligence Helps Frame and Formulate Problems in Organization","year":2024,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Frame (networking); Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02098951,0.001407643,0.001037782,0.003419248,0.008929806,0.02764059,0.003180178,0.008485327,0.006243146],"category_scores_gemma":[0.02524448,0.0009545767,0.001657165,0.002481121,0.05678761,0.03667702,0.00910662,0.01165187,0.001896056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008061549,"about_ca_system_score_gemma":0.008783123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005329019,"about_ca_topic_score_gemma":0.004430148,"domain_scores_codex":[0.9831989,0.01338902,0.0004080795,0.0008182918,0.001367662,0.0008179391],"domain_scores_gemma":[0.9798717,0.01641734,0.0007784362,0.0009922122,0.001064432,0.0008758013],"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":[0.00003360461,0.00003827387,0.0005022982,0.0003351537,0.00002398871,0.0001938752,0.0794324,0.001063611,0.000385815,0.8456471,0.02822685,0.04411697],"study_design_scores_gemma":[0.00001608128,0.00003820392,0.0004039938,0.0008508735,0.00002487157,0.0002259934,0.03352874,0.002173583,0.000443702,0.5305375,0.4316973,0.00005919148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01798671,0.06094094,0.1656314,0.4851526,0.008738944,0.0002470216,0.000111684,0.0006372951,0.2605535],"genre_scores_gemma":[0.6639159,0.05773992,0.1483953,0.04335574,0.00637513,0.0009284419,0.0002868055,0.000983586,0.07801908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02764059,"threshold_uncertainty_score":0.1110045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0195435350542228,"score_gpt":0.2243640710797076,"score_spread":0.2048205360254848,"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."}}