{"id":"W3158399030","doi":"10.1111/cgf.14356","title":"Normal‐Driven Spherical Shape Analogies","year":2021,"lang":"en","type":"preprint","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Analogy; Rendering (computer graphics); Developable surface; Surface (topology); Geometry; Geometric shape; Computer science; Artificial intelligence; Computer vision; Shape analysis (program analysis); Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0003780824,0.0008232457,0.0009516015,0.0007324229,0.00035583,0.002320865,0.00472406,0.0007475592,0.00003129423],"category_scores_gemma":[0.00002071888,0.0008724573,0.0009013334,0.001679703,0.0002149194,0.0006137873,0.01401858,0.001447082,0.0000108632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007161471,"about_ca_system_score_gemma":0.0003843006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006505366,"about_ca_topic_score_gemma":0.00005111238,"domain_scores_codex":[0.9950956,0.0002682629,0.0009602692,0.001878146,0.0008729719,0.000924809],"domain_scores_gemma":[0.9955382,0.0001681218,0.0005103181,0.002738225,0.0007192699,0.0003258034],"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":[0.000003415071,0.0002686755,0.004161253,0.0001837781,0.0002298435,0.0001786792,0.0004690617,0.0004116922,0.000009498662,0.9536872,0.01439206,0.02600488],"study_design_scores_gemma":[0.0002277268,0.0001831028,0.003287341,0.000287974,0.00002774808,0.00004701904,0.00001433702,0.9378752,0.0002498044,0.04660446,0.0101482,0.001047095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004616003,0.0008977567,0.9871596,0.001104466,0.003334594,0.0004707237,0.00001706332,0.002049688,0.0003500916],"genre_scores_gemma":[0.4674127,0.002093305,0.5222335,0.006647703,0.0008269814,0.0001756504,0.000410825,0.0001372698,0.00006208891],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9374635,"threshold_uncertainty_score":0.9993726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699344071834713,"score_gpt":0.2848074353378423,"score_spread":0.2578139946194951,"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."}}