{"id":"W4253441152","doi":"10.1109/mahc.2019.2917457","title":"IS General Quarter","year":2019,"lang":"en","type":"article","venue":"IEEE Annals of the History of Computing","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006523283,0.0008084055,0.0006672779,0.001908792,0.00237029,0.008012187,0.0008324006,0.002185906,0.7149444],"category_scores_gemma":[0.002278296,0.0003693748,0.0005316683,0.002122817,0.0006810981,0.003442906,0.00215034,0.002342292,0.6216247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187564,"about_ca_system_score_gemma":0.002812932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008767059,"about_ca_topic_score_gemma":0.01662917,"domain_scores_codex":[0.9993489,0.00005068299,0.00002433012,0.0001268369,0.0003299542,0.0001192243],"domain_scores_gemma":[0.9986159,0.0000723754,0.00004757353,0.0002267151,0.0006623882,0.0003750933],"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":[0.00002187962,0.00001502196,0.0001715615,0.00003510745,0.000001759262,0.00002130906,0.00002176396,0.00001629555,0.00009933757,0.003617784,0.9569424,0.03903578],"study_design_scores_gemma":[0.000001750579,0.000003343107,0.0003448066,0.00001656707,6.281619e-7,0.000009596937,0.00003688993,0.00001256263,0.00002787162,0.0003257297,0.9992185,0.00000164074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005346955,0.00127809,0.0002632438,0.007292233,0.01035508,0.00005035267,0.002440799,0.0007289274,0.9770566],"genre_scores_gemma":[0.001222233,0.0004464188,0.00006024806,0.0007043927,0.0005491909,0.00001020648,0.000823469,0.000133839,0.9960501],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2850556,"threshold_uncertainty_score":0.4065971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1247943404927788,"score_gpt":0.2992671631324726,"score_spread":0.1744728226396938,"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."}}