{"id":"W2163490678","doi":"","title":"Use of Keyphrase Extraction Software for Creation of an AEC/FM Thesaurus","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thesaurus; Extractor; Computer science; Software; The Internet; Process (computing); Domain (mathematical analysis); Information retrieval; World Wide Web; Software engineering; Natural language processing; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000131924,0.00007330809,0.0001457793,0.00009512404,0.00003735668,0.00002189559,0.0002688179,0.0000477654,0.0001039309],"category_scores_gemma":[0.0000977303,0.00006947477,0.00006615898,0.0002601107,0.00003564501,0.001050473,0.00001955169,0.00004048733,0.000002403457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002273702,"about_ca_system_score_gemma":0.00002171598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002741661,"about_ca_topic_score_gemma":0.00001227878,"domain_scores_codex":[0.9992772,0.00003409177,0.0002232357,0.0001980025,0.0001637461,0.000103716],"domain_scores_gemma":[0.9990458,0.0001413373,0.000144612,0.0004706403,0.0001634151,0.00003420334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003112592,0.0001322676,0.0002005052,0.00001331691,0.00001152898,8.807249e-7,0.0001814725,0.0004775523,0.08185988,0.004717353,0.000147571,0.9122266],"study_design_scores_gemma":[0.0002972839,0.0004030048,0.003098919,0.00003794174,0.00004315684,0.000006336831,0.0000152384,0.1055659,0.7910597,0.09201366,0.007239498,0.0002193196],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1603461,0.000007364235,0.8388078,0.00004889977,0.00001397669,0.0001501901,0.00000703466,0.0001349226,0.0004837282],"genre_scores_gemma":[0.4887007,0.00001227322,0.5110304,0.00002041885,0.0000119683,0.00001117141,0.000007052437,0.00000495561,0.0002010348],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9120072,"threshold_uncertainty_score":0.2833099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02853358991606894,"score_gpt":0.3131675310217468,"score_spread":0.2846339411056779,"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."}}