{"id":"W2971398685","doi":"10.24123/jsh.v8i1.672","title":"THE LOW-COST CLAYMATION DEVELOPMENT WITH A CASE STUDY OF “ABDI DALEM” COMIC CHARACTER ADAPTATION","year":2014,"lang":"en","type":"article","venue":"Sosial & Humaniora","topic":"Blockchain Technology in Education and Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Animation; Comics; Character (mathematics); Adaptation (eye); Computer science; Production (economics); Process (computing); Order (exchange); Motion (physics); Anime; Multimedia; Advertising; Business; Artificial intelligence; Psychology; Computer graphics (images); Economics; Mathematics","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":[0.0005168832,0.000104995,0.0001140333,0.00009306161,0.0005474213,0.0000996804,0.0004138076,0.00004947077,0.000006964214],"category_scores_gemma":[0.00002892305,0.0000755957,0.00001582179,0.0001943499,0.00006538496,0.0001503807,0.00007883602,0.0001907738,0.00002438939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004551373,"about_ca_system_score_gemma":0.00008110895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007483026,"about_ca_topic_score_gemma":0.0005730532,"domain_scores_codex":[0.9990056,0.0001388118,0.0002656112,0.0002226051,0.0002023713,0.0001649725],"domain_scores_gemma":[0.9991017,0.00009503592,0.0002319874,0.0004129593,0.000125899,0.00003240274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006321968,0.001461039,0.01197239,0.00004708547,0.000134755,0.00007464242,0.2549177,0.001009945,0.0007732998,0.08920112,0.0003368438,0.6400079],"study_design_scores_gemma":[0.0154352,0.005563174,0.3516016,0.0005209207,0.0002294193,0.002357734,0.2564965,0.2638678,0.01007512,0.004083726,0.08652059,0.003248163],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9245089,0.000006769298,0.07430468,0.0003308047,0.0002405027,0.0003838744,1.163594e-7,0.0001073744,0.0001169705],"genre_scores_gemma":[0.9971537,7.272822e-7,0.002524226,0.0001009796,0.00005984481,0.00008100417,0.000002162774,0.000008298513,0.00006902897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6367598,"threshold_uncertainty_score":0.4210378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757390148708185,"score_gpt":0.2527441187789738,"score_spread":0.2351702172918919,"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."}}