{"id":"W2140309919","doi":"10.1109/mahc.2004.1299660","title":"People, languages, and computers: a short memoir","year":2004,"lang":"en","type":"article","venue":"IEEE Annals of the History of Computing","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Memoir; Passions; Variety (cybernetics); Focus (optics); Work (physics); Sociology; Management; Computer science; History; Engineering; Art history; Art; Literature; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001494497,0.0009479558,0.000402071,0.001424174,0.003315094,0.006873549,0.0008996611,0.003020421,0.007396006],"category_scores_gemma":[0.004209939,0.0003999557,0.0003701669,0.002114741,0.008961372,0.01090712,0.001882674,0.005194176,0.002648595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267537,"about_ca_system_score_gemma":0.001158189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003544849,"about_ca_topic_score_gemma":0.003553044,"domain_scores_codex":[0.9990842,0.0005204893,0.00004896345,0.00009363399,0.0001783477,0.00007440064],"domain_scores_gemma":[0.9971283,0.002200475,0.00009578886,0.0001310025,0.0002369603,0.0002074722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005845938,0.00002247843,0.0002853021,0.0003492842,0.00001824811,0.0003213023,0.02237347,0.0001546502,0.0004862919,0.1603611,0.776809,0.03876036],"study_design_scores_gemma":[0.000002672275,0.00001076313,0.0001808787,0.000233645,0.000001840789,0.0002142858,0.003175835,0.0000376833,0.00005469868,0.01248826,0.983592,0.000007350127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.006671018,0.2042505,0.01056794,0.5284743,0.082123,0.00008447216,0.0006902742,0.0004500628,0.1666884],"genre_scores_gemma":[0.1700272,0.2371317,0.0127497,0.1525269,0.09401223,0.000472751,0.0007835216,0.001119882,0.3311762],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007396006,"threshold_uncertainty_score":0.02474213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04173689602156952,"score_gpt":0.2866436666461424,"score_spread":0.2449067706245729,"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."}}