{"id":"W1011678865","doi":"","title":"Odżywcza moc DNA","year":2012,"lang":"pl","type":"article","venue":"Świat Nauki/Świat nauki","topic":"Culinary Culture and Tourism","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001138188,0.001199352,0.001193224,0.00009524124,0.001265515,0.000448205,0.001341344,0.001196048,0.01435192],"category_scores_gemma":[0.0002077564,0.0005675232,0.001026299,0.001523815,0.0003559345,0.001305699,0.0006655012,0.001102906,0.009453666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244767,"about_ca_system_score_gemma":0.00006838254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000703021,"about_ca_topic_score_gemma":0.0003437414,"domain_scores_codex":[0.9931244,0.0004214601,0.001195211,0.001282524,0.001210736,0.002765627],"domain_scores_gemma":[0.9967706,0.0004431785,0.000574054,0.0005578895,0.0002523146,0.00140194],"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":[0.0004458725,0.003676072,0.05487057,0.0002137969,0.0005921089,0.0002353853,0.004422573,0.0000122317,0.07927715,0.006210192,0.7511423,0.09890179],"study_design_scores_gemma":[0.0009307869,0.0007609647,0.09554397,0.0001376151,0.0003128894,0.0001532996,0.001229398,0.00003929647,0.005225859,0.000737099,0.8933389,0.001589908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.889294,0.02177011,0.00001106714,0.01183051,0.007101754,0.001228812,0.000432984,0.00051165,0.06781916],"genre_scores_gemma":[0.9060414,0.001472779,0.0001824588,0.002418548,0.0140475,0.0000619548,0.0004458159,0.00002347127,0.07530608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1421966,"threshold_uncertainty_score":0.9996776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272155555702924,"score_gpt":0.2305722470657771,"score_spread":0.2033566914954847,"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."}}