{"id":"W2890460364","doi":"10.1023/a:1006500224529","title":"The Berkeley UNIX Consultant Project","year":2000,"lang":"en","type":"article","venue":"Artificial Intelligence Review","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"RTDS Technologies (Canada)","funders":"","keywords":"Computer science; Unix; Programming language; Utterance; Natural language; Component (thermodynamics); Artificial intelligence; Knowledge representation and reasoning; Natural language processing; Human–computer interaction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001018348,0.0001677811,0.0002202617,0.00003335665,0.0003509356,0.000282253,0.001677386,0.00004815623,0.000120953],"category_scores_gemma":[0.0004049415,0.000100617,0.00009502132,0.001065359,0.0001536013,0.0003322562,0.0001196471,0.0002380474,0.0005925411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000358744,"about_ca_system_score_gemma":0.0001414994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006984302,"about_ca_topic_score_gemma":0.00003027156,"domain_scores_codex":[0.9983009,0.000167443,0.0005137033,0.0003637337,0.0002932051,0.0003609763],"domain_scores_gemma":[0.9986138,0.0002659437,0.0001109934,0.0007898402,0.0001622736,0.00005717957],"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":[0.000001762377,0.00001336151,5.879897e-7,0.00007352966,0.000003889308,0.000007794575,0.00006480187,3.345773e-7,0.00005071039,0.173197,0.001185567,0.8254007],"study_design_scores_gemma":[0.00001041791,0.0001042641,0.000001495968,0.002573942,0.00002799414,0.0001024748,0.00002714815,0.0044448,0.02863062,0.2743286,0.6892837,0.0004645971],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001444565,0.7177261,0.2590472,0.01489072,0.0002977624,0.001506168,0.000003175887,0.001120627,0.005263828],"genre_scores_gemma":[0.04130697,0.7123996,0.2356586,0.008024995,0.0002615362,0.0003436522,0.000006744262,0.00004563529,0.001952296],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.824936,"threshold_uncertainty_score":0.7616115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04995205201662418,"score_gpt":0.3552141471328705,"score_spread":0.3052620951162463,"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."}}