{"id":"W4398152049","doi":"10.1007/978-3-031-60003-6_4","title":"Earnings Call Transcripts as a Source and Resource for Information Systems Research","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia Hospital","funders":"","keywords":"Earnings; Resource (disambiguation); Information resource; Computer science; Business; Knowledge management; Accounting; Computer network","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":[0.006066612,0.0004480883,0.0003245348,0.01147585,0.003494079,0.004244466,0.001328609,0.001033608,0.08889822],"category_scores_gemma":[0.03403938,0.0004520232,0.0001940111,0.01091938,0.001003083,0.003132065,0.002631809,0.001866524,0.02824195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002299797,"about_ca_system_score_gemma":0.005699275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00949284,"about_ca_topic_score_gemma":0.01792054,"domain_scores_codex":[0.9937947,0.002678897,0.000438348,0.0001572895,0.002672882,0.0002578715],"domain_scores_gemma":[0.9540187,0.02986768,0.001877672,0.004004463,0.009220798,0.001010694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000835046,0.00006862334,0.001057097,0.0004410626,0.000006153811,0.0003516343,0.008429674,0.0004248127,0.00180958,0.04218393,0.678968,0.266176],"study_design_scores_gemma":[0.00001146079,0.00003007727,0.004289662,0.0005209055,0.000008349019,0.0001820934,0.01290689,0.000958056,0.001749607,0.01605878,0.9632405,0.00004356189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.02984326,0.002851607,0.08486065,0.02807214,0.005444099,0.002087701,0.07052337,0.005287958,0.7710293],"genre_scores_gemma":[0.167203,0.004408883,0.08321191,0.001805507,0.002283317,0.003346848,0.04881141,0.003928334,0.6850007],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.08889822,"threshold_uncertainty_score":0.2973942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378720619550664,"score_gpt":0.3429450773756539,"score_spread":0.3050730154205875,"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."}}