{"id":"W2766398376","doi":"10.15252/embr.201745118","title":"Don't just dump your data and run","year":2017,"lang":"en","type":"article","venue":"EMBO Reports","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0001920575,0.000102471,0.0001137699,0.000009287948,0.0002862875,0.00007076488,0.0002408344,0.00006649516,0.000009855665],"category_scores_gemma":[0.0001422855,0.00009256809,0.00002488883,0.000006627209,0.00009477785,0.000001243784,0.0009152065,0.00003719574,0.000002028105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000205948,"about_ca_system_score_gemma":0.0000331481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007348937,"about_ca_topic_score_gemma":0.00007129397,"domain_scores_codex":[0.9992104,0.000008296918,0.0001543711,0.0004130882,0.00006534786,0.0001485022],"domain_scores_gemma":[0.9980673,0.000002593961,0.0001643546,0.001670228,0.00003510333,0.00006038104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002488954,0.00005463342,0.4211523,0.0000324618,0.0002202115,0.0003105163,0.0001386316,0.000003807875,0.5441306,0.00005908095,0.02287506,0.01099785],"study_design_scores_gemma":[0.0002416618,0.00007951473,0.3954597,0.000009189389,0.00004889615,0.0004548138,0.0001040006,0.00001714739,0.02991694,0.0003636659,0.5730292,0.0002752217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889577,0.002294973,0.00003137438,0.0002974345,0.0004119855,0.00008452159,0.00002771306,0.000002562295,0.007891754],"genre_scores_gemma":[0.9966232,0.0006646199,0.0005460082,0.00009712215,0.0003509678,0.000004723107,0.00006224158,0.0000128592,0.001638272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5501541,"threshold_uncertainty_score":0.3774817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04967829423742637,"score_gpt":0.3077954008174544,"score_spread":0.2581171065800281,"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."}}