{"id":"W616705231","doi":"","title":"Knight's bright quarter","year":2006,"lang":"en","type":"article","venue":"Traffic world","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Knight; Business; Engineering; Advertising; Aeronautics; Telecommunications; History; Archaeology; Physics; Astronomy","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":[],"consensus_categories":[],"category_scores_codex":[0.00004657738,0.00008967205,0.0001482086,0.0001362942,0.00005489884,0.000005376865,0.00005260508,0.000757266,0.0008943619],"category_scores_gemma":[0.000002512789,0.00006513827,0.00006902056,0.0002538254,0.0001051173,0.00002102406,0.000006485026,0.001073313,0.0006900163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001545122,"about_ca_system_score_gemma":0.00001932171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001174882,"about_ca_topic_score_gemma":0.00009228756,"domain_scores_codex":[0.9994222,0.000008940502,0.0001433666,0.0001554253,0.0000800883,0.0001899912],"domain_scores_gemma":[0.999703,0.00001803982,0.00002316919,0.0002023789,0.00001505428,0.0000383166],"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":[0.0001875679,0.0006995383,0.001965072,0.00005679458,0.0001442981,0.0005282189,0.0001107617,0.0001123664,0.002458951,0.06050688,0.9064783,0.02675126],"study_design_scores_gemma":[0.001901475,0.0001258214,0.03671545,0.00008762661,0.0001351788,0.0002094317,0.00002557574,0.0004564378,0.006161671,0.0003504138,0.9536104,0.0002204903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6771006,0.001107807,0.0001156149,0.09016816,0.0004761679,0.0002370762,0.000001510474,0.0007817427,0.2300113],"genre_scores_gemma":[0.9405981,0.00001401644,0.0002679121,0.0007358899,0.0002069113,0.000003673401,0.00001150004,0.000009983087,0.05815205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2634974,"threshold_uncertainty_score":0.9792635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004072838160509074,"score_gpt":0.2069957499430066,"score_spread":0.2029229117824976,"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."}}