{"id":"W4382864534","doi":"10.21832/9781800413184-fm","title":"Frontmatter","year":2023,"lang":"en","type":"book-chapter","venue":"Multilingual Matters 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":[0.0002163855,0.001428394,0.0008376309,0.002032287,0.00203176,0.005135753,0.001006183,0.001891641,0.9239211],"category_scores_gemma":[0.0008582241,0.0007207268,0.0005904574,0.001825013,0.0004556563,0.003446241,0.003033401,0.001737823,0.8994801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000703392,"about_ca_system_score_gemma":0.0005935624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003369085,"about_ca_topic_score_gemma":0.012034,"domain_scores_codex":[0.999797,0.00001661675,0.000006579337,0.00004601423,0.00009241558,0.00004141133],"domain_scores_gemma":[0.9996736,0.00007451662,0.00001150332,0.00004832639,0.00009997945,0.00009197056],"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":[0.00003784064,0.00003996082,0.0001007573,0.0001066289,0.000002698612,0.00007968521,0.0001059204,0.00006496521,0.000409847,0.004468309,0.8493903,0.1451931],"study_design_scores_gemma":[0.000005409533,0.000008897488,0.0001761062,0.00005937066,0.000001913646,0.00005904278,0.00007815022,0.00005200539,0.0001307034,0.0009536717,0.9984698,0.000004763859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001694424,0.0002951369,0.0002327633,0.0001740687,0.0002553057,0.0000165899,0.00042513,0.0005184201,0.9979132],"genre_scores_gemma":[0.0002466703,0.00009294873,0.00005953599,0.00008331743,0.00002068785,0.000004623224,0.0001274547,0.000136786,0.9992279],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07607889,"threshold_uncertainty_score":0.1085172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04676722048835474,"score_gpt":0.2823104937366153,"score_spread":0.2355432732482605,"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."}}