{"id":"W7059680932","doi":"","title":"Crosswords","year":2013,"lang":"en","type":"article","venue":"Trinity College Digital Repository (Trinity College)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Mistake; Genius; Glory; Newspaper; Ridiculous","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001553604,0.0006034049,0.0006654326,0.0003318335,0.0003722836,0.0005168212,0.0007238829,0.0004454438,0.0004825343],"category_scores_gemma":[0.0002008049,0.0006490307,0.0003098229,0.0008638821,0.0002461665,0.001101209,0.0002192609,0.000721264,0.0006282603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002952735,"about_ca_system_score_gemma":0.00014717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001994853,"about_ca_topic_score_gemma":0.00003119234,"domain_scores_codex":[0.9969171,0.00007896845,0.0009511424,0.0005580093,0.0006484326,0.0008463658],"domain_scores_gemma":[0.9975454,0.0004558481,0.0001188541,0.001062311,0.0003279712,0.000489617],"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":[0.0003744971,0.001706308,0.01419665,0.001149775,0.0006890069,0.001651994,0.0009949628,0.000699015,0.01545213,0.01924497,0.9239914,0.0198493],"study_design_scores_gemma":[0.009146325,0.002657616,0.08864714,0.0005199576,0.0002757302,0.001996988,0.003062839,0.01931533,0.2796464,0.01568545,0.5707614,0.008284909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5469705,0.0001341776,0.0002062648,0.00009054938,0.0007916305,0.001185683,0.0002295499,0.002160315,0.4482313],"genre_scores_gemma":[0.9658068,0.00003285145,0.0007910439,0.00008067064,0.0003111991,0.0002291562,0.00001771907,0.0001031003,0.03262746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4188362,"threshold_uncertainty_score":0.9995961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006748384173643196,"score_gpt":0.1940717379253637,"score_spread":0.1873233537517205,"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."}}