{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001274973,0.003615939,0.002326404,0.006724582,0.001091741,0.003865443,0.003574257,0.00293965,0.3285546],"category_scores_gemma":[0.007056972,0.001468359,0.001625463,0.0118231,0.0006184186,0.001510181,0.00224083,0.00171294,0.3548295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001171768,"about_ca_system_score_gemma":0.002919792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04459206,"about_ca_topic_score_gemma":0.05725529,"domain_scores_codex":[0.9987956,0.0001854889,0.0001144876,0.0004187024,0.0002225196,0.0002631094],"domain_scores_gemma":[0.9971071,0.000972913,0.0003339038,0.000701358,0.0004994958,0.0003852589],"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":[0.00006464084,0.00001708658,0.000657886,0.0005945242,0.00003470239,0.00001406434,0.00003748038,0.0002908747,0.00009963715,0.0003131079,0.9963575,0.001518434],"study_design_scores_gemma":[0.0003754383,0.00002090273,0.003202243,0.0002221652,0.0000603525,0.00002989013,0.0001072587,0.0003016391,0.0002385065,0.001132817,0.9942678,0.00004099563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004250728,0.00001636316,0.0000257353,0.00001448392,0.000005637751,0.000002944395,0.9993431,0.0002488367,0.0003004473],"genre_scores_gemma":[0.0002722038,0.00003189006,0.0001727993,0.00002757731,0.000004662695,0.00005065689,0.9984173,0.0002626603,0.0007603047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6714454,"threshold_uncertainty_score":0.9577353,"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."}}