{"id":"W6926165774","doi":"10.22008/fk2/wp1tr3/nhzrdz","title":"w50ac13.rtl","year":2022,"lang":"fr","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Infections and bacterial resistance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[],"category_scores_codex":[0.001514184,0.000520264,0.0008237759,0.00008136906,0.0004014104,0.00004902765,0.0004648385,0.0008808833,0.02162636],"category_scores_gemma":[0.0008767709,0.0004392031,0.0002238378,0.0002630486,0.0006336766,0.000007130228,0.0008530505,0.0005146696,0.00005120866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000276051,"about_ca_system_score_gemma":0.0001435392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003273632,"about_ca_topic_score_gemma":0.005754381,"domain_scores_codex":[0.9963204,0.001222168,0.0006700637,0.00089232,0.0002922638,0.0006028053],"domain_scores_gemma":[0.9981562,0.0003293218,0.0004092782,0.0006541049,0.0002235554,0.0002274834],"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":[0.002702782,0.0009137143,0.2834466,0.0005187841,0.0006385866,0.0001106263,0.00001376469,0.00003694652,0.00306351,0.0001086106,0.6928106,0.0156354],"study_design_scores_gemma":[0.0005650916,0.001155515,0.3505571,0.00002386548,0.00007950213,0.00005423755,0.000007039622,0.000004840364,0.0001509509,0.0000641335,0.6469318,0.0004058897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.48328,0.008456334,0.0001121427,0.0001302135,0.001068119,0.0003214436,0.5060235,0.000006150686,0.0006020472],"genre_scores_gemma":[0.2414242,0.01591306,0.0001408011,0.0002957919,0.0004652451,0.00005629794,0.737707,0.00003015976,0.003967349],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2418558,"threshold_uncertainty_score":0.999806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757452228554127,"score_gpt":0.2495873728321,"score_spread":0.2320128505465587,"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."}}