{"id":"W4310103250","doi":"10.29173/af29448","title":"Flattening and Unflattening","year":2022,"lang":"en","type":"article","venue":"ALTERNATIVE FRANCOPHONE","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comics; Materiality (auditing); Comic strip; Visualization; Flattening; Aesthetics; Epistemology; Sociology; Art; Literature; Philosophy; Computer science; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001424745,0.0001058138,0.0001374571,0.0001179255,0.0008814002,0.00006349246,0.00011692,0.000006787685,0.002813514],"category_scores_gemma":[0.0000113302,0.0001025826,0.00004260144,0.00006812322,0.0001533443,0.0001121261,0.0001713369,0.0002094102,0.00001341228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001836209,"about_ca_system_score_gemma":0.00001164699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003863447,"about_ca_topic_score_gemma":0.0002011012,"domain_scores_codex":[0.9993017,0.00005196101,0.0001179134,0.0002038624,0.0001684412,0.0001561498],"domain_scores_gemma":[0.999658,0.00007829707,0.00007515882,0.00009699647,0.00005075895,0.00004078415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000189198,0.0001748297,0.005800002,0.00003202911,0.0004258271,0.0001516519,0.4613117,0.0003658908,0.005196122,0.4179929,0.0500364,0.05832348],"study_design_scores_gemma":[0.001233957,0.0002805863,0.001503217,0.00002049678,0.00001139603,0.00001969896,0.03703432,0.002092254,0.0003295317,0.02134802,0.9357386,0.0003878842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675837,0.001083155,0.0001306018,0.000791355,0.002979205,0.0001248559,0.00004778955,0.00005151664,0.02720787],"genre_scores_gemma":[0.9928402,0.00002747325,0.00005876528,0.0006037592,0.0008470694,0.00004344611,0.000007310237,0.00001514898,0.005556833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8857023,"threshold_uncertainty_score":0.9980981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823572076971611,"score_gpt":0.21607824880529,"score_spread":0.1978425280355739,"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."}}