{"id":"W2987431950","doi":"10.1145/3355089.3356524","title":"ZoomOut","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":163,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Upsampling; Initialization; Computer science; Algorithm; Code (set theory); Range (aeronautics); Function (biology); Noise (video); Artificial intelligence; Image (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003253403,0.0009988591,0.0005003383,0.001309077,0.00080274,0.00133375,0.001588539,0.0007878517,0.05251684],"category_scores_gemma":[0.001451143,0.0006143844,0.0007535129,0.0007135743,0.0004974759,0.001472792,0.002591315,0.001148076,0.01206533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004933914,"about_ca_system_score_gemma":0.0009521859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003324797,"about_ca_topic_score_gemma":0.009162576,"domain_scores_codex":[0.9996845,0.00001976776,0.00001171194,0.00008087772,0.0001649294,0.00003826796],"domain_scores_gemma":[0.9996662,0.00005881376,0.00002038915,0.0001377197,0.00007621466,0.00004062217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002728906,0.000092209,0.001070885,0.0004321359,0.00008299201,0.0002643975,0.0004839159,0.01624782,0.06534255,0.0432887,0.0574069,0.8150146],"study_design_scores_gemma":[0.00008335224,0.0001489809,0.002168718,0.0001395769,0.00006416297,0.0008594258,0.0003207442,0.3392719,0.1544676,0.04480085,0.4575348,0.0001398104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008153909,0.000311941,0.9387075,0.0002394843,0.0002828173,0.0001788711,0.001038384,0.02552344,0.02556372],"genre_scores_gemma":[0.08798982,0.0003432727,0.8788218,0.0003119653,0.00005330698,0.0002239115,0.001979357,0.005755132,0.0245214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05251684,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049394652632177,"score_gpt":0.2061241597221103,"score_spread":0.1956302131957885,"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."}}