{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001997965,0.0004971533,0.0003014751,0.00164308,0.003063449,0.005470253,0.0005964109,0.001180274,0.01866468],"category_scores_gemma":[0.009518771,0.0002272015,0.0003756357,0.001407832,0.01333536,0.01023148,0.004154214,0.001661948,0.001731568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748597,"about_ca_system_score_gemma":0.0007545261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002802945,"about_ca_topic_score_gemma":0.00193988,"domain_scores_codex":[0.9983357,0.0006280099,0.00007297113,0.000328967,0.000367331,0.0002670744],"domain_scores_gemma":[0.995454,0.001884694,0.0004533411,0.001328756,0.0006939635,0.0001852944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006816411,0.0000105808,0.0006965638,0.00008779414,0.000005861906,0.0002269205,0.02104997,0.0003032619,0.001776434,0.9442431,0.00218114,0.02935023],"study_design_scores_gemma":[0.00002624716,0.00008581182,0.00270232,0.0002728436,0.00002581206,0.0009721885,0.0309882,0.002581742,0.005382082,0.6835555,0.2733553,0.00005188732],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2663991,0.002794103,0.1008236,0.01120122,0.0007953364,0.00008846532,0.0003011769,0.0006633368,0.6169336],"genre_scores_gemma":[0.9651999,0.0005079408,0.008620591,0.0004678727,0.0001023703,0.00003261807,0.0001136704,0.0001911765,0.02476376],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01866468,"threshold_uncertainty_score":0.06243962,"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."}}