{"id":"W1961349839","doi":"10.3968/j.ccc.1923670020050102.013","title":"The Exploration of the Artistic Methods and Significances of Cartoonised Characters of A Good Man Is Hard to Find","year":2010,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Character (mathematics); Theme (computing); Absurdity; Humanities; Art; Alienation; Literature; Art history; Philosophy; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003762333,0.0007927555,0.0002304738,0.001626362,0.004543316,0.007833447,0.0008324102,0.001043499,0.009855722],"category_scores_gemma":[0.006335919,0.0002860116,0.0002699358,0.00107172,0.0195421,0.00461749,0.003688783,0.002203049,0.0007890505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003856343,"about_ca_system_score_gemma":0.001946836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005522478,"about_ca_topic_score_gemma":0.01452538,"domain_scores_codex":[0.9955412,0.003425183,0.00005563609,0.0002135825,0.0006005231,0.0001639133],"domain_scores_gemma":[0.9945289,0.004131627,0.0002195709,0.0004895384,0.0004291137,0.0002013182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008477066,0.00002873951,0.001002304,0.0005232058,0.00001398104,0.000644987,0.3902459,0.0005262065,0.00383092,0.5105687,0.0158191,0.07671104],"study_design_scores_gemma":[0.00001487782,0.00005515951,0.001630755,0.0009398833,0.00001352923,0.001115323,0.1622024,0.001309495,0.00339515,0.03997138,0.7892908,0.00006122325],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.137086,0.01007596,0.09616739,0.02019367,0.001778826,0.000254511,0.0001699688,0.0002907073,0.733983],"genre_scores_gemma":[0.8288226,0.004325171,0.0401771,0.001219802,0.0003053614,0.0002007244,0.00005762176,0.0003130527,0.1245786],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009855722,"threshold_uncertainty_score":0.03297067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08697985987460723,"score_gpt":0.4672807694350627,"score_spread":0.3803009095604555,"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."}}