{"id":"W4252626067","doi":"10.1111/tops.12521","title":"Introduction to Volume 12, Issue 4 of <i>topiCS</i>","year":2020,"lang":"en","type":"article","venue":"Topics in Cognitive Science","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publication; Editorial board; Argument (complex analysis); Publishing; Library science; Executive summary; Gray (unit); Media studies; Computer science; Sociology; Political science; Law; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007623674,0.0001195976,0.0001836757,0.0002613339,0.0001311096,0.000117443,0.001194638,0.00003164829,0.00008577923],"category_scores_gemma":[0.0017282,0.0001212192,0.00003671996,0.002903836,0.0004240917,0.001043759,0.0006617869,0.0001634375,0.0001553897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004816083,"about_ca_system_score_gemma":0.0002433263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000248701,"about_ca_topic_score_gemma":0.00001348818,"domain_scores_codex":[0.9979093,0.0000414071,0.0002874972,0.0007890323,0.0005758917,0.0003968902],"domain_scores_gemma":[0.9989366,0.00004931308,0.00008503655,0.0002649601,0.0004522627,0.0002118449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003426904,0.0001684576,0.01328504,0.0000602652,0.00000749584,0.00003663858,0.01811721,0.0001250217,0.04589516,0.03708985,0.007014066,0.8781666],"study_design_scores_gemma":[0.001920578,0.002006269,0.1405602,0.0003377024,0.00002367917,0.00003361477,0.003912637,0.05320616,0.3963982,0.01355031,0.3863557,0.001694901],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1022348,0.0000566794,0.7250891,0.1365868,0.001652604,0.0007313075,0.000009435737,0.0001409606,0.03349836],"genre_scores_gemma":[0.9761184,0.00001155348,0.01432897,0.007286617,0.00109055,0.00001689761,9.224854e-7,0.000004580559,0.001141454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8764716,"threshold_uncertainty_score":0.4943175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03502802734899601,"score_gpt":0.2950260225089937,"score_spread":0.2599979951599977,"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."}}