{"id":"W6926378870","doi":"10.25345/c5gq6rc7s","title":"MassIVE MSV000093295 - Lambert_SAINT4980_APMS_Fusion_P134_VS12","year":2023,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Identification (biology); Process (computing); Work (physics); Set (abstract data type)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001043205,0.003074097,0.002045928,0.002925537,0.001298851,0.00290391,0.003508035,0.004053324,0.1024847],"category_scores_gemma":[0.005773838,0.0008316165,0.002327677,0.003424297,0.0006297427,0.0009780676,0.002005986,0.001944075,0.09886049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898824,"about_ca_system_score_gemma":0.003306894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03367391,"about_ca_topic_score_gemma":0.06172067,"domain_scores_codex":[0.9990187,0.0001447773,0.00006613949,0.0003444217,0.0002221829,0.0002037922],"domain_scores_gemma":[0.998441,0.0005747154,0.0001241353,0.000296898,0.0003132398,0.0002498888],"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":[0.0002005253,0.00002489057,0.001117815,0.0005846216,0.00008089855,0.00003678317,0.00001697374,0.000492366,0.0002214977,0.0004147828,0.9944613,0.002347594],"study_design_scores_gemma":[0.001388689,0.00008763729,0.006742706,0.0005080348,0.0002548303,0.0002452919,0.00008972274,0.002368102,0.001229766,0.004010668,0.9830014,0.00007309602],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003676474,0.0002232486,0.0001043576,0.0001579444,0.00005945541,0.00001346744,0.9970936,0.0008562703,0.001124082],"genre_scores_gemma":[0.001047664,0.0001059706,0.0004077651,0.000201018,0.00001749024,0.0000655066,0.9968191,0.0001473387,0.001188074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1024847,"threshold_uncertainty_score":0.3428453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650179353228227,"score_gpt":0.3209422399579734,"score_spread":0.2944404464256911,"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."}}