{"id":"W2030106884","doi":"10.5555/2328888.2328895","title":"The aMotion toolkit: painting with affective motion textures","year":2012,"lang":"en","type":"article","venue":"","topic":"Aesthetic Perception and Analysis","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Palette (painting); Motion (physics); Painting; Computer science; Visual arts; Human–computer interaction; Affect (linguistics); Computer graphics (images); Artificial intelligence; Art; Psychology; Communication","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006977242,0.0004837368,0.0002521954,0.0007291905,0.000536983,0.001603646,0.0006089368,0.0005228838,0.007300303],"category_scores_gemma":[0.002270848,0.000274865,0.0004172965,0.000316717,0.0009836522,0.001280891,0.002374471,0.0005186751,0.0007152219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002077925,"about_ca_system_score_gemma":0.0002059648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003121283,"about_ca_topic_score_gemma":0.0007428816,"domain_scores_codex":[0.9997444,0.00009397891,0.00001421879,0.00004362139,0.00007024533,0.00003368171],"domain_scores_gemma":[0.9994637,0.0002981406,0.00002314572,0.0001017537,0.00003480211,0.00007851361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008122174,0.0002355332,0.003464154,0.002429354,0.0001105732,0.001301032,0.02228481,0.005106794,0.3980472,0.05714483,0.01485677,0.4942068],"study_design_scores_gemma":[0.0004667704,0.001845667,0.04072436,0.001582918,0.0003157932,0.008758505,0.01349117,0.03879707,0.1491623,0.05681028,0.687602,0.0004430637],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3199303,0.00249094,0.5972583,0.001053592,0.0003951553,0.0006801802,0.0004268791,0.003805668,0.07395894],"genre_scores_gemma":[0.7108105,0.001270677,0.2666532,0.0003457093,0.00007788632,0.0006064162,0.0001891384,0.0006653221,0.01938109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007300303,"threshold_uncertainty_score":0.02442199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952575491019388,"score_gpt":0.2558122739653648,"score_spread":0.236286519055171,"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."}}