{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105135,0.001161557,0.0004511822,0.0003056664,0.0009690823,0.00151102,0.001099313,0.001754752,0.01381984],"category_scores_gemma":[0.00203986,0.0001917861,0.0006050576,0.0001567951,0.0005132902,0.001424407,0.001959202,0.001554065,0.002218506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000379475,"about_ca_system_score_gemma":0.0005626195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001021355,"about_ca_topic_score_gemma":0.003468155,"domain_scores_codex":[0.9996266,0.0001428464,0.00001249257,0.00006688695,0.00005304208,0.00009801171],"domain_scores_gemma":[0.9992402,0.000221091,0.00003576159,0.00004352648,0.00003304402,0.000426565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01856707,0.09685696,0.03598578,0.002608359,0.0005739851,0.006263833,0.02896506,0.03970246,0.08861423,0.08350284,0.09603316,0.5023263],"study_design_scores_gemma":[0.007562129,0.03900558,0.09591606,0.0008447649,0.0007478241,0.003846133,0.0202458,0.2138294,0.03971619,0.09325945,0.484154,0.0008726294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8792019,0.0001231114,0.03112029,0.002065864,0.0004548999,0.001031887,0.0004077551,0.001578687,0.08401567],"genre_scores_gemma":[0.8758551,0.0001784236,0.08687147,0.0007363901,0.00007122463,0.0008558727,0.0004909775,0.0001404716,0.03480007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01381984,"threshold_uncertainty_score":0.04623199,"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."}}