{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001264411,0.0001129643,0.0001228372,0.00005738462,0.00003694297,0.0001775581,0.001317829,0.0001169692,0.00004696281],"category_scores_gemma":[0.00002527986,0.00007452155,0.00006702207,0.00006554295,0.00002245848,0.0001252757,0.001695747,0.00009102336,0.0005169823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005355542,"about_ca_system_score_gemma":0.0001471839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003660495,"about_ca_topic_score_gemma":0.000003551799,"domain_scores_codex":[0.9991535,0.00001991594,0.0001322672,0.0003605741,0.0001703022,0.0001634487],"domain_scores_gemma":[0.998411,0.00003543331,0.0000652747,0.001320157,0.00005679941,0.0001113176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[3.15755e-7,0.00001809705,0.00001154263,0.000007847429,0.000009204945,7.956558e-7,0.00006192768,0.000006342581,0.000115058,0.8615975,0.03100772,0.1071637],"study_design_scores_gemma":[0.0001462895,0.00003570017,0.002080471,0.00006874452,0.000005043317,0.000004847166,0.000003987064,0.006641583,0.001928906,0.7215242,0.2671055,0.0004546991],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003536312,0.00003485331,0.8617518,0.007490054,0.0002666186,0.0001185229,0.000006732936,0.000244558,0.1297332],"genre_scores_gemma":[0.8975764,0.00009272472,0.08896102,0.001835054,0.0002999735,0.0001043388,0.000007606076,0.00001585154,0.01110706],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8972228,"threshold_uncertainty_score":0.6644934,"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."}}