{"id":"W4232393634","doi":"10.1145/3320254.3322194","title":"Crosswords","year":2019,"lang":"en","type":"article","venue":"AI Matters","topic":"Linguistics and language evolution","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coupon; Elite; The Internet; Bit (key); Advertising; Irish; Business; Medicine; Telecommunications; Political science; Computer science; Computer security; Law; Finance; Linguistics; World Wide Web; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001409666,0.001093715,0.0007940998,0.002791063,0.003648775,0.006689172,0.001377987,0.001759404,0.639316],"category_scores_gemma":[0.01062841,0.0004265416,0.0004900925,0.002866045,0.0009836471,0.00600893,0.005267181,0.002467853,0.4772791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296784,"about_ca_system_score_gemma":0.001061275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00175174,"about_ca_topic_score_gemma":0.002424957,"domain_scores_codex":[0.9982525,0.0003423578,0.0001754107,0.0003580056,0.0006627208,0.0002090818],"domain_scores_gemma":[0.9941856,0.001358365,0.000270762,0.001047161,0.002566044,0.0005720457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001286956,0.00003568426,0.0004000919,0.0002611522,0.000006641811,0.0001948082,0.001398407,0.00002931799,0.0009716463,0.02537263,0.8677337,0.1034672],"study_design_scores_gemma":[0.000004976301,0.00001338765,0.0003587564,0.00006793696,0.000001785592,0.0001765281,0.0006087894,0.00003482637,0.000253924,0.002063508,0.9964085,0.00000710146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004523948,0.00132479,0.006341765,0.006808,0.01940563,0.0003190733,0.006362601,0.002709132,0.9522051],"genre_scores_gemma":[0.02360761,0.0007036355,0.002919483,0.004607259,0.003028197,0.0002470537,0.005774583,0.003497113,0.9556151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.639316,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008679763144186505,"score_gpt":0.2184198033549728,"score_spread":0.2097400402107863,"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."}}