{"id":"W3014887682","doi":"10.1177/1555412020914722","title":"Making Sense of Abstract Board Games: Toward a Cross-Ludic Theory","year":2020,"lang":"en","type":"article","venue":"Games and Culture","topic":"Digital Games and Media","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Typology; Representation (politics); Sociology; Epistemology; Meaning (existential); Optimal distinctiveness theory; Perspective (graphical); On board; Affordance; Aesthetics; Social psychology; Psychology; Computer science; Political science; Human–computer interaction; Law; History; Art; Philosophy; Artificial intelligence","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":[0.000179401,0.0001059197,0.0001873969,0.00001169101,0.00005937432,0.000141483,0.0001057153,0.0001099789,0.0002059112],"category_scores_gemma":[0.0002178992,0.00007907633,0.00009681017,0.0001249696,0.0003281592,0.000175005,0.00004387289,0.0001249279,0.00001628029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009761429,"about_ca_system_score_gemma":0.00005196482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002359891,"about_ca_topic_score_gemma":0.00003254035,"domain_scores_codex":[0.9991665,0.00003100986,0.0001562204,0.0001979604,0.0002221573,0.0002261015],"domain_scores_gemma":[0.9995766,0.00003724589,0.0000836238,0.00007410526,0.00006276838,0.0001656841],"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":[0.0001477427,0.00006685255,0.003006929,0.0002521269,0.00008695521,0.00009775766,0.4180835,0.000007470049,0.001000231,0.0433273,0.01523716,0.518686],"study_design_scores_gemma":[0.0002263211,0.00006485065,0.004197288,0.00007128176,0.0000190364,0.000002900833,0.03201915,0.000003628487,0.0001191238,0.002116324,0.9610206,0.0001394727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4631112,0.006343965,0.00005377184,0.003624901,0.000267196,0.000256926,0.00005327888,0.0001179921,0.5261707],"genre_scores_gemma":[0.9855378,0.0008096807,0.0001345371,0.001314341,0.0003082028,0.000003338381,0.000002918307,0.000008369309,0.01188081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9457834,"threshold_uncertainty_score":0.3224639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04667033924081651,"score_gpt":0.3348203706207389,"score_spread":0.2881500313799223,"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."}}