{"id":"W2900813538","doi":"","title":"A workflow for designing stylized shading effects","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Shading; Stylized fact; Workflow; Computer science; Rendering (computer graphics); Computer vision; Computer graphics (images); Object (grammar); Process (computing); Artificial intelligence; Human–computer interaction","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006338511,0.0004160559,0.0004785965,0.0004381734,0.0005425321,0.001450156,0.003098908,0.0003415898,0.00001277506],"category_scores_gemma":[0.001207585,0.0004580079,0.0003414273,0.0006767227,0.0001446148,0.000268948,0.002984559,0.0004180089,0.000009739086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009832848,"about_ca_system_score_gemma":0.0002736032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001095953,"about_ca_topic_score_gemma":0.0000769904,"domain_scores_codex":[0.9943156,0.003025656,0.0005726739,0.001195515,0.0004193136,0.0004712512],"domain_scores_gemma":[0.9912792,0.002699332,0.0005917038,0.002595667,0.002634087,0.000199973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007769422,0.000294132,0.000383375,0.0004169971,0.00009760843,0.000003499055,0.005570555,0.00001354555,0.001031443,0.8969491,0.003665648,0.09156632],"study_design_scores_gemma":[0.0007692975,0.000002362313,0.0003938144,0.004224513,0.00004270406,0.000006390192,0.000007715072,0.6773055,0.1439799,0.160968,0.01147876,0.0008211294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002753356,0.0005737557,0.9891738,0.001593709,0.0004933797,0.001086763,0.00001129232,0.00111,0.00320394],"genre_scores_gemma":[0.2128054,0.0002003809,0.7852759,0.0002217944,0.00006478011,0.0003685019,0.0001273112,0.00005678352,0.0008791019],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7359812,"threshold_uncertainty_score":0.9997872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034076353174065,"score_gpt":0.2694179837885879,"score_spread":0.2490772202568473,"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."}}