{"id":"W2625959723","doi":"","title":"Gotta Catch Em' All: The Compelling Act of Creature Collection in Pokemon, Ni No Kuni, Shin Megami Tensei, and World of Warcraft","year":2017,"lang":"en","type":"article","venue":"Loading...","topic":"Death Anxiety and Social Exclusion","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Video game; Creatures; Popularity; Reading (process); Sociology; Theme (computing); Battle; Postmodernism; Computer science; Aesthetics; Media studies; Art; Psychology; World Wide Web; Multimedia; Literature; History; Social psychology; Law; Political science; Natural (archaeology)","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":[0.001570757,0.000586485,0.000274349,0.001094433,0.009022786,0.006200607,0.00125255,0.001514692,0.002375859],"category_scores_gemma":[0.003192448,0.0003920263,0.0002899429,0.0007888271,0.01701866,0.005962077,0.006057465,0.002676975,0.0002012821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002542153,"about_ca_system_score_gemma":0.001448389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007070685,"about_ca_topic_score_gemma":0.02722735,"domain_scores_codex":[0.9980956,0.001259396,0.00002974962,0.0001726522,0.0001848113,0.0002579158],"domain_scores_gemma":[0.9989008,0.0005019955,0.0001865053,0.00008642356,0.00005190245,0.0002724512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000138606,0.000121084,0.006357234,0.0002007273,0.00001667811,0.001450047,0.8933499,0.0001896107,0.001326073,0.07423271,0.004690947,0.01792629],"study_design_scores_gemma":[0.00001412333,0.0001259983,0.01277932,0.0002352689,0.00001699707,0.0009747015,0.8556244,0.0003159212,0.00097798,0.008288021,0.1206077,0.00003966028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9047039,0.0007679486,0.004813917,0.003487737,0.0001503971,0.0001021075,0.0000526125,0.00004047864,0.08588076],"genre_scores_gemma":[0.9869386,0.0003976122,0.001930528,0.0004198236,0.00002795851,0.00008495228,0.00003958881,0.00003535834,0.01012562],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009022786,"threshold_uncertainty_score":0.01844472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362358134276278,"score_gpt":0.3118365553775538,"score_spread":0.2882129740347911,"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."}}