{"id":"W4238249363","doi":"10.1007/978-3-030-24094-3_1","title":"Introduction","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Limelight; CONTEST; Code (set theory); Art; History; Computer science; Programming language; Political science; Law; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004711263,0.0008371004,0.0005079919,0.001751964,0.00141337,0.004030431,0.001422354,0.001502249,0.5707461],"category_scores_gemma":[0.00190971,0.0003078657,0.0004437355,0.001675157,0.0007071468,0.003036051,0.001906451,0.001789321,0.4610154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128887,"about_ca_system_score_gemma":0.001994479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002467292,"about_ca_topic_score_gemma":0.004210937,"domain_scores_codex":[0.9995095,0.00005011212,0.00001537316,0.0000927314,0.000279175,0.00005313905],"domain_scores_gemma":[0.9993013,0.0001168328,0.00002464839,0.00008951153,0.0003407902,0.0001268917],"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":[0.0000151921,0.00002703407,0.00005088504,0.0001389194,0.000001202635,0.00003077024,0.0001065102,0.0000851961,0.0002681204,0.03395153,0.8255002,0.1398245],"study_design_scores_gemma":[8.505232e-7,0.000003276304,0.00003387681,0.0000483412,4.261034e-7,0.00001850371,0.00002245925,0.00001064487,0.0000346808,0.002390529,0.9974352,0.000001355909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002184895,0.003185937,0.002583255,0.002103016,0.004585566,0.00009332073,0.0009613436,0.0004560913,0.985813],"genre_scores_gemma":[0.0006325946,0.001571444,0.0006475368,0.0006924894,0.0006896998,0.00004041505,0.0005316904,0.0001315745,0.9950626],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5707461,"threshold_uncertainty_score":0.6122786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293125140755606,"score_gpt":0.1944781804904796,"score_spread":0.1815469290829235,"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."}}