{"id":"W3208114106","doi":"10.3389/fcomp.2021.674333","title":"Design and Analysis of a Collaborative Story Generation Game for Social Robots","year":2021,"lang":"en","type":"article","venue":"Frontiers in Computer Science","topic":"Topic Modeling","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Storytelling; Computer science; Entertainment; Robot; Quality (philosophy); Baseline (sea); Artificial intelligence; Multimedia; Human–computer interaction; Art; Narrative; Visual arts","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":[0.0009244262,0.0000801026,0.0002428087,0.0004345329,0.0001506574,0.0001477916,0.0004872961,0.00003625987,3.765292e-7],"category_scores_gemma":[0.00003964463,0.0000855278,0.00003874282,0.002835404,0.0001656441,0.0005118104,0.0002068284,0.00005535525,7.778216e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008881331,"about_ca_system_score_gemma":0.0004286837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002142354,"about_ca_topic_score_gemma":0.000005260376,"domain_scores_codex":[0.9986872,0.0001212644,0.0001902202,0.0005318592,0.0002693558,0.000200077],"domain_scores_gemma":[0.9992037,0.00006543901,0.00009485966,0.0002626465,0.0003281104,0.00004523932],"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":[0.000008296808,0.00006617079,0.002549678,0.00001946258,0.0001186341,0.000009167893,0.01128094,0.6929258,0.005252628,0.008938862,0.0014629,0.2773674],"study_design_scores_gemma":[0.0001930376,0.00002955517,0.002625105,0.000004861943,0.00002088728,7.558367e-7,0.00002361858,0.9937623,0.002412168,0.000785044,0.00005190662,0.00009074826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01478413,0.0002952462,0.9834448,0.0004784588,0.0008083907,0.0001656242,0.000001875651,0.00001675474,0.000004711695],"genre_scores_gemma":[0.1483448,0.00001290195,0.8514444,0.00012593,0.00004772319,0.0000124927,0.000001395758,0.000002045789,0.000008407935],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3008365,"threshold_uncertainty_score":0.3487723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03736874431042569,"score_gpt":0.2728842541574876,"score_spread":0.2355155098470619,"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."}}