{"id":"W2604043882","doi":"10.1038/nmeth.4239","title":"Tabular data","year":2017,"lang":"la","type":"article","venue":"Nature Methods","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Population; Computer science; Computational biology; Biology; Geography; Medicine","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":["sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.004218341,0.0002620041,0.0003446674,0.0001009612,0.001603781,0.002603237,0.007016803,0.0007706858,0.00005559961],"category_scores_gemma":[0.00283756,0.0002308098,0.00008078997,0.0001640048,0.0003458878,0.002221005,0.002679776,0.001822412,0.00008425984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002749328,"about_ca_system_score_gemma":0.0003687393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000367861,"about_ca_topic_score_gemma":0.000007597543,"domain_scores_codex":[0.9972702,0.0005785025,0.0002819523,0.001087246,0.000349222,0.0004329313],"domain_scores_gemma":[0.9925331,0.0001862626,0.0005002374,0.006417262,0.0002228401,0.0001403146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000544486,0.00002467771,0.0002798119,0.00006268838,0.00003560739,0.00002433989,0.000113493,9.228139e-7,0.0009559999,0.002415677,0.005280944,0.9908004],"study_design_scores_gemma":[0.000737871,0.00005612783,0.004874979,0.0003413437,0.0001546228,0.0002968559,0.00003896383,0.2630533,0.02816346,0.01919707,0.6822819,0.0008034779],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002763837,0.01633866,0.9483992,0.003960522,0.01640937,0.000109284,0.00002400278,0.0001177024,0.01436488],"genre_scores_gemma":[0.02192692,0.0001767507,0.971939,0.0004056857,0.001322312,0.000001932549,0.00001285069,0.00002073205,0.004193796],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9899969,"threshold_uncertainty_score":0.999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038504492423783,"score_gpt":0.5050060873720317,"score_spread":0.4011556381296534,"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."}}