{"id":"W4386574768","doi":"10.29173/pathfinder91","title":"Human Librarian Interviews ChatGPT","year":2023,"lang":"en","type":"article","venue":"Pathfinder A Canadian Journal for Information Science Students and Early Career Professionals","topic":"AI in Service Interactions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chatbot; Information literacy; World Wide Web; Computer science; Foundation (evidence); Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002389359,0.0001586778,0.0001669287,0.001448071,0.003005902,0.003609658,0.002133773,0.00007219405,0.00004505754],"category_scores_gemma":[0.0001543862,0.0001304284,0.00008297489,0.001441411,0.0001459386,0.01253083,0.0003650473,0.0003058008,0.0001349396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001449646,"about_ca_system_score_gemma":0.001329176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046068,"about_ca_topic_score_gemma":0.001101434,"domain_scores_codex":[0.9975089,0.000046807,0.0005682639,0.0002295548,0.000968438,0.0006780493],"domain_scores_gemma":[0.9977619,0.00005583769,0.0002696195,0.0003166664,0.0006958712,0.000900105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001595934,0.00009942977,0.1872886,0.0002007554,0.0001719669,0.00006777034,0.3283789,0.0002109113,0.0003952072,0.1837418,0.1010295,0.1983991],"study_design_scores_gemma":[0.001022952,0.0002363461,0.8359588,0.0003761132,0.00001352117,0.0001742941,0.0120479,0.00270842,0.0001141223,0.01006859,0.136677,0.0006019795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539569,0.0000976259,0.0212912,0.01086051,0.008407933,0.001192434,0.00007971458,0.0001813972,0.003932312],"genre_scores_gemma":[0.9954129,0.000007474599,0.000951487,0.002609179,0.0001111244,0.00007464187,0.000008075384,0.000007987831,0.0008171142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6486702,"threshold_uncertainty_score":0.998292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06519196633023144,"score_gpt":0.3665883585347061,"score_spread":0.3013963922044747,"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."}}