{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001080154,0.001284599,0.0008491311,0.004508799,0.0006563112,0.003311678,0.001380196,0.001196385,0.4953683],"category_scores_gemma":[0.0153281,0.0004830799,0.0009020125,0.007423016,0.0004282625,0.002434693,0.001730931,0.001234422,0.3741518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009616219,"about_ca_system_score_gemma":0.001990112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004068213,"about_ca_topic_score_gemma":0.003540839,"domain_scores_codex":[0.9986991,0.0002070329,0.0001659943,0.0002839155,0.0004763917,0.0001677133],"domain_scores_gemma":[0.992826,0.002274483,0.0003944965,0.002093259,0.002084492,0.0003273997],"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":[0.00036875,0.00009442535,0.0009029806,0.000663378,0.00001892433,0.00005354151,0.00006201075,0.001045494,0.0009711623,0.007162722,0.9087764,0.07988022],"study_design_scores_gemma":[0.0000937177,0.00004029526,0.0008121904,0.000210868,0.00001180432,0.00007780339,0.0001269247,0.00191753,0.001639335,0.01226666,0.9827679,0.00003494861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001964278,0.0003937527,0.01081813,0.0008026226,0.000855545,0.0002241472,0.9234616,0.01206541,0.0494146],"genre_scores_gemma":[0.01716695,0.0008425491,0.02392689,0.0008925656,0.0002459338,0.0008564488,0.8945561,0.004690268,0.05682223],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4953683,"threshold_uncertainty_score":0.7197959,"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."}}