{"id":"W2301069107","doi":"","title":"Creativity within constraints: Encoding, production, and representation in Battlestar Galactica","year":2015,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Creativity; Encoding (memory); Representation (politics); Production (economics); Computer science; Psychology; Artificial intelligence; Political science; Social psychology; Economics; Microeconomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00321825,0.0004729628,0.00036447,0.001645413,0.00839801,0.01406068,0.001043808,0.001208344,0.006872394],"category_scores_gemma":[0.01066774,0.0004241671,0.0002508412,0.002234889,0.02105552,0.006049836,0.007411059,0.002276437,0.0004347955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004488751,"about_ca_system_score_gemma":0.002569962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005903615,"about_ca_topic_score_gemma":0.00907646,"domain_scores_codex":[0.9962894,0.002589826,0.00009559205,0.0002993288,0.0004039863,0.0003218303],"domain_scores_gemma":[0.9899923,0.007949339,0.0007540925,0.0004878045,0.0002972015,0.0005192533],"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":[0.00006817196,0.00002329536,0.002164984,0.0000917006,0.000005564392,0.0008716858,0.9180176,0.0001401848,0.001372588,0.06487752,0.0008463753,0.01152036],"study_design_scores_gemma":[0.00001924248,0.0000397439,0.005610428,0.0002728581,0.00001160153,0.0008221387,0.8799376,0.0003671492,0.001757866,0.02543484,0.08569818,0.00002830401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.808554,0.001980056,0.01167244,0.005054982,0.0001230117,0.00007292654,0.0001124355,0.00006267326,0.1723675],"genre_scores_gemma":[0.9922473,0.0003205919,0.001049594,0.0001020015,0.0000244917,0.00003913626,0.00003807706,0.00006194325,0.006116907],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01406068,"threshold_uncertainty_score":0.03256834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565204944820308,"score_gpt":0.2857955550949667,"score_spread":0.2601435056467636,"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."}}