{"id":"W2962818228","doi":"10.1145/3306306.3328007","title":"Creative brainstorming in after effects","year":2019,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Mindset; Brainstorming; Casual; Animation; Computer science; Point (geometry); Multimedia; Human–computer interaction; Expression (computer science); Creativity; World Wide Web; Computer graphics (images); Psychology; Artificial intelligence","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":[0.002292576,0.0008795284,0.0003225878,0.00111221,0.001948463,0.003823873,0.001479408,0.001208223,0.0302347],"category_scores_gemma":[0.005402889,0.0003516885,0.0008057016,0.0003539074,0.00296332,0.003890504,0.003947069,0.001297773,0.003991249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006848478,"about_ca_system_score_gemma":0.0006396512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002993374,"about_ca_topic_score_gemma":0.0009056915,"domain_scores_codex":[0.9985166,0.0007137753,0.00003757096,0.0002049978,0.0003122196,0.0002148317],"domain_scores_gemma":[0.9954987,0.003002565,0.000139895,0.0006194708,0.0002920915,0.0004472097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009469393,0.001239992,0.003753374,0.001579403,0.00009811707,0.004060494,0.2557236,0.003671571,0.08235316,0.07447439,0.05666664,0.5154324],"study_design_scores_gemma":[0.0005066765,0.001874669,0.00971621,0.0009725243,0.0001632334,0.005085718,0.1221582,0.009901908,0.06633478,0.08074746,0.7023082,0.0002303278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.407077,0.001347849,0.2617401,0.003429782,0.001149521,0.0008611897,0.000252146,0.004440953,0.3197016],"genre_scores_gemma":[0.7551902,0.0006815586,0.1034952,0.001345177,0.0002934519,0.0005732827,0.0003319479,0.001829855,0.1362593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0302347,"threshold_uncertainty_score":0.1011451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004726662400070858,"score_gpt":0.2339611157143362,"score_spread":0.2292344533142653,"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."}}