{"id":"W4385834601","doi":"10.16995/dscn.9671","title":"It Matters to the Viewer: Social Reviews of Books Adapted for Film","year":2023,"lang":"en","type":"article","venue":"Digital Studies / Le champ numérique","topic":"Shakespeare, Adaptation, and Literary Criticism","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Amateur; Adaptation (eye); Criticism; Fidelity; Argument (complex analysis); Reading (process); Similarity (geometry); Psychology; Plot (graphics); Computer science; Social psychology; Linguistics; Literature; Artificial intelligence; Art; Political science; Philosophy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002950114,0.0001845312,0.0004019866,0.00007059683,0.000530804,0.0001592114,0.0001946609,0.00002716629,0.00008930541],"category_scores_gemma":[0.0001852802,0.0001294922,0.0002203761,0.0000853951,0.0001961097,0.0002573426,0.00007954326,0.00006524244,0.0001310605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002279688,"about_ca_system_score_gemma":0.0000246398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003500758,"about_ca_topic_score_gemma":0.0006660105,"domain_scores_codex":[0.9988735,0.00004352771,0.000435414,0.0002173961,0.0001545411,0.0002756531],"domain_scores_gemma":[0.9991727,0.0002614308,0.0001063449,0.0001621656,0.0002580587,0.00003933336],"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":[0.00001806854,0.00001889042,0.000003807046,0.0001309424,0.00006600155,0.000001070614,0.5645682,0.000002985185,0.000003860438,0.006016438,0.4267156,0.002454161],"study_design_scores_gemma":[0.0001372241,0.00005554151,0.00002114375,0.00006305424,5.564783e-7,4.192288e-7,0.3328373,0.00001134252,0.00001443065,0.001931129,0.6648184,0.0001094527],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1550128,0.01714236,0.001722297,0.3398509,0.006266219,0.009564444,0.005572365,0.001012744,0.4638558],"genre_scores_gemma":[0.9250146,0.0007548969,0.00001024449,0.01243632,0.001828444,0.0008297355,0.0002341703,0.00006289669,0.05882874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7700017,"threshold_uncertainty_score":0.5280539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040695960308933,"score_gpt":0.3023616468487345,"score_spread":0.1982920508178412,"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."}}