{"id":"W4377230410","doi":"10.2118/0423-0008-jpt","title":"Comments: AI Language Tools Hit the Books . . . and Technical Content?","year":2023,"lang":"en","type":"article","venue":"Journal of Petroleum Technology","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chatbot; World Wide Web; Notice; Computer science; Unicode; Engineering; Artificial intelligence; Political science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002733078,0.0009177825,0.0005694252,0.00103757,0.004367069,0.002990147,0.00115233,0.007636643,0.1497483],"category_scores_gemma":[0.02243405,0.0003485157,0.0006521766,0.00136812,0.001089033,0.004565089,0.002142743,0.005213499,0.06730039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00277334,"about_ca_system_score_gemma":0.002228621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01131718,"about_ca_topic_score_gemma":0.01923,"domain_scores_codex":[0.9976973,0.0005197226,0.0001458759,0.0003201958,0.0009901652,0.000326722],"domain_scores_gemma":[0.9828248,0.005795376,0.0008305036,0.0004276946,0.008559458,0.001562103],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001468063,0.000006181339,0.000140307,0.00004308557,9.785103e-7,0.00006441693,0.0002827525,0.000009168016,0.0000847588,0.0003091193,0.9961338,0.002910703],"study_design_scores_gemma":[0.000007083113,0.00001440194,0.0007199749,0.00009515146,0.000002964062,0.0001228167,0.001508042,0.00005455165,0.0001184433,0.0002480784,0.9970848,0.00002375436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003716518,0.001622608,0.001213073,0.8538221,0.06540015,0.0001976193,0.002811289,0.001547815,0.0696689],"genre_scores_gemma":[0.01498948,0.00135762,0.0009466492,0.6764985,0.01670419,0.0002198181,0.0013208,0.000846586,0.2871164],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9972669,"threshold_uncertainty_score":0.5009581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1382641206979903,"score_gpt":0.4156438746799434,"score_spread":0.2773797539819531,"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."}}