{"id":"W1556922296","doi":"","title":"Harun Farocki, Serious Games: I–IV (2009–10), Ryerson Image Centre, Toronto, 17 September to 7 December, 2014Harun Farocki, Serious Games: I–IV (2009–10), Ryerson Image Centre, Toronto, 17 September to 7 December, 2014","year":2015,"lang":"en","type":"article","venue":"Ciel variable : Art, photo, médias, culture","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Media studies; Image (mathematics); Sociology; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008039185,0.0009747507,0.0003434671,0.000902847,0.002883235,0.00242457,0.001145817,0.001498194,0.2539423],"category_scores_gemma":[0.001494788,0.0004738424,0.0002662897,0.0006808862,0.0005820611,0.001281408,0.001552216,0.001843272,0.07366447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007696907,"about_ca_system_score_gemma":0.008193406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.51089,"about_ca_topic_score_gemma":0.8404267,"domain_scores_codex":[0.9993175,0.00004353288,0.00002507782,0.000086698,0.0003636984,0.0001633876],"domain_scores_gemma":[0.9984246,0.00005840856,0.00004184714,0.00003319221,0.0008082181,0.0006336566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003593052,0.00002065137,0.0002446952,0.00004068255,0.000001430917,0.00002494958,0.00008687721,0.00003818355,0.0001636408,0.0004527894,0.9851054,0.01378467],"study_design_scores_gemma":[0.00002548541,0.00003230666,0.008486363,0.00007510078,0.000004333236,0.00003353948,0.0004218786,0.0001116152,0.0003144036,0.0001179992,0.9903609,0.00001607274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008420419,0.01845581,0.002616209,0.03719763,0.01912306,0.001230743,0.02234904,0.002895326,0.8877118],"genre_scores_gemma":[0.01086154,0.003058608,0.0009470115,0.0007887038,0.0004659692,0.0001358256,0.002851631,0.0002604982,0.9806302],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.48911,"threshold_uncertainty_score":0.9839809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498115545373802,"score_gpt":0.2705440395421949,"score_spread":0.2555628840884569,"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."}}