{"id":"W4313360144","doi":"10.1007/978-3-031-05214-9_7","title":"Getting Creative with Actions","year":2022,"lang":"en","type":"book-chapter","venue":"Human-computer interaction series","topic":"Educational Games and Gamification","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Narrative; Action (physics); Avatar; Set (abstract data type); Context (archaeology); Repertoire; Computer science; Human–computer interaction; History; Art; Literature","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":[0.0004617445,0.001455287,0.000435037,0.0008884345,0.001818904,0.005459145,0.000963944,0.001663025,0.0662543],"category_scores_gemma":[0.001071748,0.0002962524,0.0006154686,0.0006365166,0.003827819,0.005384984,0.003960436,0.003181825,0.0236541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007852011,"about_ca_system_score_gemma":0.0009155584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006593993,"about_ca_topic_score_gemma":0.001655711,"domain_scores_codex":[0.9995673,0.0001024041,0.00001587671,0.0000821661,0.0001773455,0.00005492439],"domain_scores_gemma":[0.9997526,0.0001034763,0.00001148876,0.00005031411,0.00003274286,0.0000493738],"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":[0.00001612086,0.00006867413,0.00008658899,0.000243835,0.000008851494,0.00009075036,0.00340577,0.0003180187,0.0009464525,0.661377,0.1196195,0.2138185],"study_design_scores_gemma":[0.000006555613,0.0000236031,0.0001954833,0.0002104295,0.000005710186,0.0002403882,0.000973881,0.0003045697,0.0006236756,0.1635317,0.8338743,0.000009644788],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0008815925,0.00226918,0.01442616,0.001275348,0.00064472,0.00004284719,0.00002740456,0.0002096192,0.9802231],"genre_scores_gemma":[0.02161363,0.003170278,0.01098885,0.0009716596,0.0002185257,0.0001456323,0.0001042006,0.0002659938,0.9625212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0662543,"threshold_uncertainty_score":0.2216427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07598087999089469,"score_gpt":0.3605298559004846,"score_spread":0.2845489759095899,"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."}}