{"id":"W1861711793","doi":"10.1007/978-3-642-24500-8_40","title":"Re:Cycle - A Generative Ambient Video Engine","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Digital Games and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Chrominance; Computer science; Narrative; Luminance; Generative grammar; Meaning (existential); Set (abstract data type); Computer graphics (images); Computer vision; Artificial intelligence; Art; Literature","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":[0.0005770816,0.001511651,0.0008148689,0.0007788003,0.0004968558,0.001659076,0.002924757,0.001139317,0.03991417],"category_scores_gemma":[0.001902853,0.0009659311,0.001173457,0.0004613078,0.0006179332,0.002257281,0.002699159,0.001138072,0.0127608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004261358,"about_ca_system_score_gemma":0.0005785117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002989841,"about_ca_topic_score_gemma":0.00340702,"domain_scores_codex":[0.999613,0.00005903303,0.00002030403,0.0001025649,0.0001599584,0.00004532198],"domain_scores_gemma":[0.9996107,0.0001197829,0.000008950931,0.0001430817,0.00007474922,0.00004279848],"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":[0.001347666,0.0007479877,0.001431263,0.000964915,0.0002447683,0.0006256347,0.001271988,0.04070532,0.09515512,0.08363936,0.1488696,0.6249964],"study_design_scores_gemma":[0.0004000244,0.0003592681,0.0007341377,0.0001217726,0.0001598174,0.0007253861,0.0002406413,0.489721,0.105822,0.05738125,0.3441235,0.0002112871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.008334531,0.0002049138,0.8212489,0.00009288022,0.0001647477,0.0003898268,0.001580598,0.1414464,0.02653721],"genre_scores_gemma":[0.2127108,0.0004695655,0.6096452,0.0004338244,0.0001023845,0.0009237699,0.0102899,0.05313243,0.1122921],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03991417,"threshold_uncertainty_score":0.1335261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337587914490886,"score_gpt":0.2625356789147692,"score_spread":0.2391597997698603,"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."}}