{"id":"W4308123011","doi":"10.3366/dlgs.2022.0490","title":"Introduction to Félix Guattari, ‘The “Grid”’","year":2022,"lang":"en","type":"article","venue":"Deleuze and Guattari Studies","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Grid; Geography; Geodesy","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":[],"consensus_categories":[],"category_scores_codex":[0.0002305839,0.0001429399,0.0001723605,0.00006051518,0.0009988274,0.0003154951,0.0003520418,0.00001324031,0.00002403865],"category_scores_gemma":[0.00009388864,0.00008459559,0.0000448618,0.0004305592,0.00006801818,0.0005690634,0.001194977,0.0001285324,0.00003593699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005956028,"about_ca_system_score_gemma":0.00002122275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001897142,"about_ca_topic_score_gemma":0.0001699272,"domain_scores_codex":[0.9988852,0.00004793878,0.0001724753,0.000367641,0.0002708882,0.0002558305],"domain_scores_gemma":[0.9993489,0.00007813486,0.00004749761,0.0003484136,0.00009712555,0.00007989151],"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":[0.00001727442,0.0000639201,0.0002424885,0.0000103447,0.0001309498,0.00002746106,0.01320997,0.000684826,0.0005418986,0.0619139,0.8973978,0.02575916],"study_design_scores_gemma":[0.0001607892,0.0003100545,0.003008784,0.000003328484,0.00001508136,0.0001126187,0.002048661,0.0002608417,0.0002501202,0.00502134,0.9885966,0.000211824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5356742,0.01547293,0.006160348,0.4214015,0.006619418,0.0009934187,0.00003670556,0.0004869725,0.01315462],"genre_scores_gemma":[0.9742206,0.0002258478,0.001424451,0.01178497,0.001508795,0.000129112,0.000009445256,0.00001203923,0.01068479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4385464,"threshold_uncertainty_score":0.7682274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1955160491047168,"score_gpt":0.3255396374128173,"score_spread":0.1300235883081005,"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."}}