{"id":"W2405268431","doi":"10.1145/2858036.2858079","title":"Storeoboard","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Storyboard; Computer science; Stereoscopy; Workflow; Artificial intelligence; Computer graphics (images); Computer vision; Multimedia","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":[0.0008760351,0.001375257,0.000678399,0.001193425,0.000771742,0.003218075,0.0025492,0.0009866962,0.08185574],"category_scores_gemma":[0.003884695,0.0009832685,0.0008098844,0.0007030007,0.0007694605,0.003624564,0.004838896,0.001241392,0.01742756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005370572,"about_ca_system_score_gemma":0.0008257693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004683256,"about_ca_topic_score_gemma":0.005645358,"domain_scores_codex":[0.9989917,0.0001370362,0.00006238629,0.0002721413,0.0004082233,0.0001285672],"domain_scores_gemma":[0.9984748,0.0003866366,0.00008227841,0.0005222231,0.0002346464,0.00029955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003298362,0.0004827761,0.005158132,0.002374502,0.0001581843,0.00191687,0.008359772,0.004216375,0.07313489,0.02828291,0.2711662,0.601451],"study_design_scores_gemma":[0.0002375252,0.0003522945,0.003815441,0.000314359,0.00007905069,0.001045228,0.001085915,0.01941515,0.02475179,0.005090125,0.9436576,0.0001556202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05632709,0.00242383,0.5092689,0.0009862854,0.0006787998,0.001981294,0.01231609,0.2310688,0.1849489],"genre_scores_gemma":[0.3561192,0.001866884,0.4241201,0.0009198352,0.0002085135,0.001519447,0.02283486,0.0351305,0.1572806],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08185574,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03502159744389734,"score_gpt":0.2940967003942883,"score_spread":0.2590751029503909,"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."}}