{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003498199,0.00004238984,0.00004678074,0.00002120555,0.00005717104,0.0000997602,0.00005217143,0.000009982133,0.01197936],"category_scores_gemma":[0.000003212277,0.00003539598,0.00002543723,0.000006671215,0.00003590142,0.00004638934,0.00001361578,0.00004160918,0.002669663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009997814,"about_ca_system_score_gemma":0.000005352737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002675121,"about_ca_topic_score_gemma":0.00007759158,"domain_scores_codex":[0.9997092,0.000004821426,0.00005811663,0.00007150864,0.00006012396,0.00009621525],"domain_scores_gemma":[0.9998299,0.000009735798,0.00001693789,0.00009964313,0.00002692855,0.00001688214],"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":[0.000005054333,0.00001535144,0.0005368887,0.00002245531,0.00001282868,0.000004011718,0.01207613,0.000006309317,0.0001134079,0.4543612,0.5323434,0.000502862],"study_design_scores_gemma":[0.00009471986,0.00001412542,0.0002044784,0.000007287166,0.000003552103,5.016369e-7,0.0005605046,0.00009779612,0.00002107184,0.001063524,0.997869,0.00006342482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.413866,0.0002190422,0.0002041949,0.05025811,0.01035037,0.0003383284,0.00005141911,0.0003020295,0.5244105],"genre_scores_gemma":[0.9177328,6.518648e-7,0.00001864619,0.04221269,0.0005563428,0.000001819856,0.000008491581,0.00000823697,0.03946036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5038667,"threshold_uncertainty_score":0.9981069,"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."}}