{"id":"W3123978155","doi":"","title":"Towards a terminological knowledge base on Islamic archaeology: linguistic and conceptual aspects","year":2020,"lang":"en","type":"article","venue":"","topic":"linguistics and terminology studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Linguistic Association","funders":"","keywords":"Islam; Linguistics; Archaeology; Knowledge base; History; Epistemology; Philosophy; 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":[0.01091048,0.0005426963,0.0009014597,0.01613704,0.004410848,0.01575669,0.003028247,0.002296475,0.006333416],"category_scores_gemma":[0.0219762,0.0007984073,0.0009858772,0.01642874,0.01020995,0.02301147,0.006821719,0.003639528,0.002410125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002537712,"about_ca_system_score_gemma":0.005946183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004258967,"about_ca_topic_score_gemma":0.004215692,"domain_scores_codex":[0.9960347,0.001667234,0.0008773885,0.0004549625,0.000764109,0.0002016742],"domain_scores_gemma":[0.9783626,0.009960038,0.001293576,0.004732595,0.005038167,0.0006130402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005316259,0.00009725207,0.002080382,0.0004118102,0.00003042015,0.0004507786,0.01226615,0.002198474,0.001663578,0.883167,0.006927647,0.09065326],"study_design_scores_gemma":[0.00002179089,0.00003801703,0.002245152,0.001963029,0.00008771726,0.0005049065,0.01722119,0.01620218,0.001983701,0.7897977,0.169867,0.0000675529],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05313532,0.004261442,0.8350807,0.01055875,0.0006049846,0.0004096081,0.003220625,0.001009255,0.09171923],"genre_scores_gemma":[0.4718061,0.005769961,0.5043119,0.001279067,0.0006065594,0.0004218182,0.007548802,0.000546343,0.007709546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01613704,"threshold_uncertainty_score":0.05770081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012831233881974,"score_gpt":0.2734114396925497,"score_spread":0.1721283163043523,"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."}}