{"id":"W4398241582","doi":"10.25165/j.ijabe.20241702.9075","title":"Chatbots: a critical look into the future of the academia","year":2024,"lang":"en","type":"article","venue":"International journal of agricultural and biological engineering","topic":"AI in Service Interactions","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Engineering ethics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001373849,0.00007328429,0.00008201263,0.00003015629,0.00003461429,0.0001106505,0.0008255565,0.00008372261,0.000008791434],"category_scores_gemma":[0.00009616255,0.00002399743,0.000110403,0.0001429058,0.00004422076,0.0003067708,0.0002346886,0.0005289289,0.000001936843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003218837,"about_ca_system_score_gemma":0.00001251494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003438168,"about_ca_topic_score_gemma":9.713788e-7,"domain_scores_codex":[0.9993705,0.00002122847,0.0002308969,0.00008322051,0.0002180516,0.00007608962],"domain_scores_gemma":[0.9993804,0.0002925811,0.00005369074,0.000050244,0.0001881258,0.00003501941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000323608,0.0001182043,0.001491998,0.00008737847,0.0006674298,0.00009218438,0.005490108,0.007348568,0.1765088,0.7028055,0.004115213,0.1012423],"study_design_scores_gemma":[0.0005059302,0.0006030414,0.7598594,0.001891207,0.00008410038,0.009176332,0.002818929,0.04770164,0.01768821,0.01705564,0.1419418,0.0006737279],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8656723,0.005349668,0.01492141,0.1083469,0.005536205,0.00005401249,0.00000315063,0.00003958884,0.00007670048],"genre_scores_gemma":[0.9966826,0.0002768827,0.001805183,0.0002649857,0.0009483782,0.000001383778,2.790052e-7,0.000001317465,0.00001896039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7583674,"threshold_uncertainty_score":0.2297962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008409805240182665,"score_gpt":0.2502394948297453,"score_spread":0.2418296895895626,"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."}}