{"id":"W4407066124","doi":"10.1190/tle44020108.1","title":"Advancing geologic document digitalization and information retrieval with generative AI","year":2025,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Virtual Materials Group (Canada)","funders":"","keywords":"Generative grammar; Information retrieval; Computer science; Artificial intelligence","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":[0.0009592546,0.0003285313,0.00030328,0.0009494183,0.0003308626,0.002115042,0.0009051649,0.0003692544,0.003375578],"category_scores_gemma":[0.00340844,0.0002119015,0.0006292174,0.0008423714,0.001436614,0.002093257,0.001862369,0.0008836216,0.001055083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000941358,"about_ca_system_score_gemma":0.0008047662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00291254,"about_ca_topic_score_gemma":0.003454246,"domain_scores_codex":[0.9994838,0.0001798081,0.00003066505,0.0001043257,0.0001606879,0.00004063761],"domain_scores_gemma":[0.9984064,0.0007468726,0.00009013605,0.0004962771,0.000210894,0.00004947647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001626894,0.0001342236,0.001955157,0.0003126258,0.00005819782,0.0002559835,0.001497323,0.1910832,0.05312563,0.2928521,0.005564431,0.4529984],"study_design_scores_gemma":[0.00001726146,0.00004108853,0.0003970679,0.00003222232,0.00002295802,0.000159667,0.0002716207,0.8431479,0.02668912,0.1119403,0.01725612,0.00002468354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02923805,0.0003053736,0.9579017,0.0006176045,0.00003327463,0.00005813979,0.0001164977,0.002108769,0.009620612],"genre_scores_gemma":[0.5700198,0.0005725533,0.4231234,0.0002673384,0.00004498124,0.0000696171,0.0003959997,0.0004031791,0.005103176],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003375578,"threshold_uncertainty_score":0.01129246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003977792339939269,"score_gpt":0.2314456312494914,"score_spread":0.2274678389095521,"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."}}