{"id":"W2963094945","doi":"10.1016/j.cels.2019.07.004","title":"Evaluation of Schink et al.: Having the Gem Shine through a Fog","year":2019,"lang":"en","type":"letter","venue":"Cell Systems","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Advanced Research","funders":"H2020 European Research Council; European Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canadian Institute for Advanced Research; EMBO; European Molecular Biology Organization","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002747896,0.0002531522,0.0003884382,0.00002228711,0.00009804608,0.0001049735,0.0006404021,0.0002869617,0.00140821],"category_scores_gemma":[0.00001496954,0.0001478822,0.0001241815,0.0001286228,0.00001918975,0.0002520418,0.0002036555,0.0004904288,0.00318592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966048,"about_ca_system_score_gemma":0.00003783386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004510039,"about_ca_topic_score_gemma":0.0002600452,"domain_scores_codex":[0.9966104,0.0006718446,0.0004451791,0.0004268214,0.001555161,0.0002906136],"domain_scores_gemma":[0.9984382,0.0001611695,0.000521857,0.0008213331,0.00003920548,0.00001818895],"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":[0.000001753801,0.00001415806,0.001047821,0.0003707283,0.00003944225,0.000003971314,0.0004753586,0.004233486,0.0002067008,0.000001221806,0.9934908,0.0001146307],"study_design_scores_gemma":[0.0003039546,0.00003112949,0.0003258424,0.0003047685,0.0001967035,0.000009306847,0.0000844899,0.01685371,0.00008101664,0.00003957358,0.9815465,0.000223033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2411766,0.008370074,0.0001529151,0.3585583,0.007627795,0.006571921,0.0001730295,0.0001582033,0.3772111],"genre_scores_gemma":[0.6722487,0.0001138872,0.00002905624,0.3207113,0.001262736,0.0002033008,0.0002534349,0.00009900286,0.005078544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.431072,"threshold_uncertainty_score":0.9995046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03417144767562644,"score_gpt":0.256550400125327,"score_spread":0.2223789524497005,"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."}}