{"id":"W4285236560","doi":"10.1007/978-3-030-97899-0_1","title":"Introduction","year":2022,"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; Political science; Programming language; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001366436,0.0001544039,0.0001586614,0.0002447955,0.000143128,0.00003809211,0.001545548,0.000117604,0.003300332],"category_scores_gemma":[0.00001756377,0.0001637205,0.00007541871,0.00003683463,0.0000591356,0.0001283662,0.001092731,0.00041716,0.0007559133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002097258,"about_ca_system_score_gemma":0.00005690472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002330353,"about_ca_topic_score_gemma":0.000001083483,"domain_scores_codex":[0.9989641,0.000006569309,0.0001513039,0.0004739467,0.0002822944,0.0001217306],"domain_scores_gemma":[0.9986777,0.00002231559,0.0001082371,0.001139809,0.00003098697,0.00002089598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[1.8536e-7,0.000001511214,2.858765e-8,0.000001818627,0.0000050678,0.00000602884,0.00001183683,0.000009848648,0.000002202255,0.6901789,0.2756823,0.03410031],"study_design_scores_gemma":[0.00001884239,0.00004017471,3.676361e-7,0.000002085369,0.000002271064,0.00002334036,5.321831e-7,0.0002894483,0.0000150574,0.1265128,0.8729362,0.0001588644],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[2.776596e-7,0.0001939376,0.09781481,0.009562498,0.001895213,0.00006870008,4.271075e-7,0.002513652,0.8879505],"genre_scores_gemma":[0.00003418255,0.00002367272,0.06304245,0.0001575714,0.0003555961,0.00000347543,0.000003319037,0.00001619737,0.9363635],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5972539,"threshold_uncertainty_score":0.9976108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486548560632291,"score_gpt":0.1969811436046636,"score_spread":0.1821156579983406,"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."}}