{"id":"W4285560792","doi":"10.18574/nyu/9781479848102.003.0001","title":"Frontmatter","year":2020,"lang":"en","type":"book-chapter","venue":"New York University Press eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science","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":["insufficient_payload"],"category_scores_codex":[0.0002382294,0.001776394,0.001078436,0.002266514,0.00166489,0.004261617,0.001225907,0.00183337,0.916841],"category_scores_gemma":[0.0007846929,0.0008342906,0.0007228563,0.001896768,0.0004549497,0.003362141,0.002735073,0.001875854,0.8938015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005951818,"about_ca_system_score_gemma":0.0005794154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002378608,"about_ca_topic_score_gemma":0.008415285,"domain_scores_codex":[0.9997922,0.00001853699,0.000006636847,0.00004829448,0.00009496139,0.00003940136],"domain_scores_gemma":[0.9996874,0.00006725538,0.00001241549,0.0000551044,0.00008612173,0.00009164858],"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":[0.00005014931,0.00005236276,0.00009284933,0.0001554024,0.000003917015,0.00007139062,0.00007323927,0.0001045992,0.0005345976,0.003879877,0.8155734,0.1794083],"study_design_scores_gemma":[0.00000904989,0.00001680327,0.0002051574,0.00007634918,0.000003223676,0.00006884068,0.00005881992,0.00008722251,0.0001565335,0.0009921353,0.9983199,0.000006033645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002004128,0.000610971,0.0003762571,0.0001542765,0.0003541626,0.00002851583,0.0005941082,0.0006641341,0.9970173],"genre_scores_gemma":[0.0002689906,0.0001717614,0.00008262015,0.00007907637,0.00002843182,0.00000708466,0.0002159964,0.0001510115,0.998995],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08315903,"threshold_uncertainty_score":0.1186163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04477126915816694,"score_gpt":0.1972189575926717,"score_spread":0.1524476884345047,"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."}}