{"id":"W2407437324","doi":"10.1016/j.mib.2016.05.001","title":"Editorial overview: Remapping the body of the world: Exploring interactions at the interface of microbial ecology, biological engineering and information science","year":2016,"lang":"en","type":"editorial","venue":"Current Opinion in Microbiology","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Ecology; Interface (matter); Microbial ecology; Data science; Cognitive science; Computer science; Psychology; Bacteria; Paleontology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007906908,0.000234448,0.000425724,0.0006936623,0.000356476,0.0001579262,0.002682227,0.000161196,0.00004603137],"category_scores_gemma":[0.01015784,0.0001017129,0.0001405474,0.001365373,0.001515082,0.0005670185,0.004330405,0.0007055204,0.00002960941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002193719,"about_ca_system_score_gemma":0.0002180087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002073187,"about_ca_topic_score_gemma":0.00004777719,"domain_scores_codex":[0.9967179,0.0004567142,0.001309886,0.0006231919,0.0005233498,0.0003689208],"domain_scores_gemma":[0.9911853,0.005967725,0.001126063,0.001141011,0.0005439469,0.0000359574],"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":[0.00003260301,0.00002039554,0.0001691017,0.00004105809,0.00001093845,1.17296e-8,0.0002754941,0.0001275227,0.008410186,0.00023293,0.9880394,0.002640333],"study_design_scores_gemma":[0.0002723841,0.00002927304,0.0005592115,0.0005079033,0.0000071678,0.000002104417,0.0001063407,0.0001074566,0.0006161046,0.00006686454,0.9976084,0.0001167693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.009249226,0.0006444785,0.0002262159,0.0005552959,0.9885278,0.0004108845,0.0003465042,0.00001199499,0.00002764747],"genre_scores_gemma":[0.02685175,0.002071708,0.00009787003,0.00002343169,0.9704819,0.00009684917,0.0001554613,0.00001711982,0.0002039131],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01804585,"threshold_uncertainty_score":0.99818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022980995940525,"score_gpt":0.4109600643739104,"score_spread":0.3086619647798579,"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."}}