{"id":"W3208471981","doi":"10.5281/zenodo.2602022","title":"Penthera 1.5T","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000943022,0.002503638,0.002013507,0.001140486,0.0006687947,0.001584965,0.003572666,0.001733933,0.06203217],"category_scores_gemma":[0.00286631,0.0006207408,0.0009049782,0.00201798,0.0004462443,0.001072463,0.001817379,0.001258865,0.08452806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005960668,"about_ca_system_score_gemma":0.0009728882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005094387,"about_ca_topic_score_gemma":0.0101862,"domain_scores_codex":[0.9996248,0.00009654207,0.00003653068,0.0001506907,0.00004820224,0.00004303893],"domain_scores_gemma":[0.9994884,0.0001114846,0.0000659777,0.0001498246,0.000130697,0.00005362962],"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":[0.001847231,0.0001335617,0.004265371,0.002489903,0.0004400271,0.0003367874,0.00008831474,0.001326203,0.00226838,0.001086423,0.9581705,0.02754732],"study_design_scores_gemma":[0.001440114,0.0002152689,0.01541556,0.0006911283,0.0005086418,0.001689326,0.0001034643,0.001914638,0.003112392,0.008592728,0.9661977,0.0001190536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003980467,0.0008862335,0.003092839,0.0002952457,0.0000785192,0.0002114149,0.9846056,0.002805641,0.004044047],"genre_scores_gemma":[0.005574605,0.0004663404,0.004993499,0.0003118303,0.00005045295,0.001027716,0.9837635,0.0005863542,0.003225699],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06203217,"threshold_uncertainty_score":0.2075183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0373076914822219,"score_gpt":0.2708657678931743,"score_spread":0.2335580764109524,"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."}}