{"id":"W2766305343","doi":"10.1038/s41477-017-0047-z","title":"Tinker, tailor, soldier, enzyme","year":2017,"lang":"en","type":"letter","venue":"Nature Plants","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Tinker; Computer science; Geography; Archaeology","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":[0.001567067,0.0005651566,0.0007057784,0.0003611219,0.001710308,0.002826435,0.001002877,0.02162709,0.008704565],"category_scores_gemma":[0.009714182,0.0003933533,0.0004375014,0.0003376955,0.002753719,0.002161493,0.000865524,0.02001194,0.01054204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003081739,"about_ca_system_score_gemma":0.001402907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002423367,"about_ca_topic_score_gemma":0.005223212,"domain_scores_codex":[0.9987814,0.0002165875,0.0001000221,0.0002208568,0.0005339992,0.0001471316],"domain_scores_gemma":[0.9978822,0.00115047,0.0001653126,0.0001305753,0.0003094269,0.0003619411],"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":[0.00005342113,0.00001782027,0.0002034267,0.00004494655,0.000007943523,0.0007492764,0.00002561385,0.00003545812,0.0003602841,0.00606153,0.9769562,0.01548405],"study_design_scores_gemma":[0.00005207606,0.00003753721,0.000307928,0.00007386728,0.000007431535,0.0007569739,0.00008310968,0.0001508839,0.0004555905,0.01023202,0.9878259,0.0000166598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004336778,0.01209123,0.0004163017,0.9405958,0.03521049,0.00001700685,0.00005622072,0.00006515241,0.01111409],"genre_scores_gemma":[0.008790278,0.01033644,0.0004890586,0.8692407,0.04889581,0.00005166185,0.00007064126,0.00005007926,0.06207539],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02162709,"threshold_uncertainty_score":0.02911967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009630485581625743,"score_gpt":0.2563635453475672,"score_spread":0.2467330597659414,"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."}}