{"id":"W2764870502","doi":"","title":"Playing for Climate Change: An Educational Alternative Realty Game (ARG) in Second Life","year":2011,"lang":"en","type":"article","venue":"PhDT","topic":"Educational Games and Gamification","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Climate change; Psychology; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002747015,0.00009311104,0.0001052955,0.0001083992,0.00004915992,0.00001250427,0.0001519776,0.00006038556,0.003059602],"category_scores_gemma":[0.00004793682,0.0000970849,0.00003348344,0.00009055204,0.00003072228,0.0001763423,0.00001346353,0.00009086635,0.0001863496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004458614,"about_ca_system_score_gemma":0.00005259435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003901536,"about_ca_topic_score_gemma":0.0002055009,"domain_scores_codex":[0.9991339,0.00005736679,0.0002186828,0.0002863001,0.00006395348,0.0002398092],"domain_scores_gemma":[0.9993656,0.0001143335,0.0001252566,0.000217057,0.00008104678,0.00009670109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003728429,0.001797784,0.2170847,0.00009173825,0.00006608281,0.000001131915,0.1235285,0.000002097349,0.0002487288,0.630549,0.004821313,0.02143604],"study_design_scores_gemma":[0.0004388813,0.00008309985,0.9795163,0.00001493317,0.00000732361,0.000003345775,0.00156633,0.0001303228,0.00004812727,0.01138306,0.0066765,0.0001317463],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600136,0.0003952365,0.000174426,0.001878793,0.001558998,0.0005979794,0.0001401444,0.00002634639,0.03521454],"genre_scores_gemma":[0.9947929,0.00003289464,0.001295879,0.001144665,0.0008782184,0.0008866401,0.0001894516,0.00001970381,0.0007595794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7624316,"threshold_uncertainty_score":0.9978517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1907477961409949,"score_gpt":0.4090194232779239,"score_spread":0.218271627136929,"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."}}