{"id":"W4304196692","doi":"10.1515/9781845458362-toc","title":"Contents","year":2022,"lang":"en","type":"paratext","venue":"Berghahn Books","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002477215,0.0006994714,0.000844213,0.0004033126,0.0003280104,0.0001105756,0.001079321,0.0003876646,0.2105861],"category_scores_gemma":[0.00004981489,0.0007676036,0.0004129224,0.0001952282,0.0001629959,0.00007868789,0.0007281661,0.001353795,0.6401666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007409983,"about_ca_system_score_gemma":0.0003217839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004563049,"about_ca_topic_score_gemma":0.00004633694,"domain_scores_codex":[0.9964113,0.0002658913,0.0005804794,0.000933771,0.001051938,0.0007565681],"domain_scores_gemma":[0.9977979,0.00008422264,0.0005034566,0.001247731,0.0001193793,0.0002473194],"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":[0.00007888333,0.00007210486,0.00001120078,0.00004985193,0.0002478368,0.00007808689,0.00008380928,0.00002467481,0.0006878571,0.0005955151,0.9975329,0.0005372621],"study_design_scores_gemma":[0.0007845375,0.00008372818,0.00003804473,0.00006755848,0.0001095796,0.00003690059,0.00005124153,0.00000715241,0.0003011054,0.00008588603,0.9976473,0.0007869088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004258105,0.003924879,0.000006279389,0.00004149651,0.006995617,0.0007423582,0.004164342,0.0002607895,0.9834384],"genre_scores_gemma":[0.004203204,0.00005157095,0.00004861054,0.0006047747,0.0007985714,0.0004726245,0.003290399,0.0006550478,0.9898752],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4295804,"threshold_uncertainty_score":0.9994775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04860212656360148,"score_gpt":0.2869406648669361,"score_spread":0.2383385383033346,"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."}}