{"id":"W2962780613","doi":"10.1145/3272127.3275008","title":"SCORES","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Feature (linguistics); Encoding (memory); Substructure; Code (set theory); Algorithm; Artificial neural network; Range (aeronautics); Artificial intelligence; Autoencoder; Pattern recognition (psychology); Topology (electrical circuits); Set (abstract data type); Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00004621013,0.00008415236,0.00007621503,0.0001826241,0.0001278841,0.00001869305,0.000143715,0.00005620751,0.0001288533],"category_scores_gemma":[0.000005444998,0.00008184794,0.00009121053,0.0003769522,0.00005306978,0.00004892852,8.261261e-7,0.0001415636,0.0001343753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008664201,"about_ca_system_score_gemma":0.000003724618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001082699,"about_ca_topic_score_gemma":0.00008985204,"domain_scores_codex":[0.9995699,0.000006628711,0.00009451216,0.0001005716,0.00009845731,0.000129943],"domain_scores_gemma":[0.9995565,0.00002883377,0.000005823156,0.0003365878,0.00003611997,0.00003608517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005604843,0.0004116379,0.0008387215,0.0001483558,0.001472435,0.00001669428,0.002100713,0.5656947,0.005899583,0.003680525,0.00701718,0.4126634],"study_design_scores_gemma":[0.0006012377,0.0002621967,0.0009061961,0.0001017501,0.00030622,0.00001126243,0.000129813,0.9328073,0.03044826,0.02450475,0.009111233,0.0008097615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1104894,0.00007385239,0.8871415,0.0002004373,0.0002708765,0.00002838972,0.00001041445,0.0004656013,0.001319571],"genre_scores_gemma":[0.997723,0.0001867524,0.001754934,0.0001411105,0.0000644899,0.000006387163,0.000001939275,0.0000193062,0.0001021104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8872336,"threshold_uncertainty_score":0.3337662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886306742438699,"score_gpt":0.2345501880263377,"score_spread":0.2156871206019507,"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."}}