{"id":"W4407963315","doi":"10.36227/techrxiv.174060240.09460752/v1","title":"Enhancing Context-Aware Search with Retrieval-Augmented Generation","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Context (archaeology); Computer science; Information retrieval; Geography","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":[0.001251275,0.001001066,0.001194506,0.001542088,0.0003262535,0.001083318,0.0009574919,0.001052136,0.002249982],"category_scores_gemma":[0.005238181,0.0003439416,0.0009593149,0.001472724,0.0004689454,0.002676283,0.001481555,0.0007331099,0.001372158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004898485,"about_ca_system_score_gemma":0.0008511303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00288628,"about_ca_topic_score_gemma":0.004414112,"domain_scores_codex":[0.9990042,0.0003696409,0.00007052452,0.0001886906,0.0002819832,0.00008504918],"domain_scores_gemma":[0.9984505,0.0008064142,0.00009773454,0.0003221249,0.000270395,0.00005272353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000608822,0.000662212,0.002796164,0.0005852603,0.0001386889,0.000380328,0.0004704698,0.1303064,0.06297389,0.009761486,0.008413374,0.7829029],"study_design_scores_gemma":[0.00009269014,0.0003239943,0.0009222793,0.00002508932,0.00008646306,0.0002877839,0.0001109484,0.9675394,0.01582628,0.009080919,0.005648773,0.00005541959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1123254,0.003497327,0.8669277,0.0005329261,0.0001748332,0.0003347446,0.0003594773,0.01057386,0.005273717],"genre_scores_gemma":[0.6265,0.0007499662,0.3672807,0.0003901438,0.0001160557,0.0001924479,0.0008546363,0.0003216353,0.00359437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00288628,"threshold_uncertainty_score":0.007526934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03829311611870879,"score_gpt":0.3208088696196598,"score_spread":0.282515753500951,"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."}}