{"id":"W3106147314","doi":"10.6084/m9.figshare.12592671.v1","title":"Additional file 1 of Microbiome definition re-visited: old concepts and new challenges","year":2020,"lang":"en","type":"article","venue":"Open MIND","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Waterloo","funders":"","keywords":"Computer science; Microbiome; Data science; Biology; Bioinformatics","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":[0.003311812,0.001048959,0.001228347,0.002914799,0.001100946,0.002456616,0.001767204,0.001530341,0.8060641],"category_scores_gemma":[0.06126122,0.0005699269,0.001032733,0.004148853,0.0004182032,0.00290981,0.002136435,0.001532179,0.151188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092209,"about_ca_system_score_gemma":0.002601325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00765899,"about_ca_topic_score_gemma":0.01297977,"domain_scores_codex":[0.9985548,0.0003955417,0.0002603339,0.0003558496,0.0002799976,0.0001535499],"domain_scores_gemma":[0.9585177,0.03254437,0.001638828,0.002413035,0.004068902,0.0008170953],"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":[0.0002013463,0.00003631214,0.001907839,0.002805349,0.00003300832,0.00005579164,0.0001106723,0.0001561312,0.00008082473,0.000690023,0.9854749,0.008447803],"study_design_scores_gemma":[0.001293022,0.00009269765,0.01331804,0.005007356,0.0001531533,0.0005268047,0.0008035395,0.0006146737,0.0005209703,0.01217528,0.9653807,0.0001138476],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0001679428,0.00005243449,0.0003968982,0.0002369378,0.00006286765,0.00006168291,0.9977164,0.0002553513,0.001049443],"genre_scores_gemma":[0.008183205,0.000414108,0.006842108,0.001662245,0.0002449889,0.001833042,0.9686117,0.001611194,0.01059739],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1939359,"threshold_uncertainty_score":0.2766259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0811321266460571,"score_gpt":0.3058274383929687,"score_spread":0.2246953117469116,"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."}}