{"id":"W3203004729","doi":"10.1038/s41550-021-01509-7","title":"Making the sum greater than its parts","year":2021,"lang":"en","type":"article","venue":"Nature Astronomy","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000139829,0.0002053237,0.0001637004,0.00004128098,0.0003047059,0.0001348925,0.0002556394,0.00008473129,0.001432455],"category_scores_gemma":[0.000006460389,0.0001581058,0.0001362032,0.0002100471,0.00004346216,0.0003276026,0.0001144046,0.0005430072,0.0002454453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005591984,"about_ca_system_score_gemma":0.0001362138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008954575,"about_ca_topic_score_gemma":0.000007318446,"domain_scores_codex":[0.998819,0.0000720986,0.000230235,0.0002727736,0.0002055338,0.0004003401],"domain_scores_gemma":[0.9991804,0.0000357843,0.000124858,0.0004222932,0.0001740166,0.00006259639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004376941,0.00002906814,0.9770772,0.000005043997,0.00007725317,4.540847e-8,0.0004416938,0.00003877475,0.00001836205,0.01722271,0.004557209,0.0005282095],"study_design_scores_gemma":[0.0002750139,0.000009009915,0.9272246,0.00001731046,0.00003056004,0.000002664531,0.0006465332,0.00009650439,0.00103303,0.0007082499,0.06978984,0.0001666544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98566,0.0003768671,0.001384447,0.001124759,0.0005610662,0.0002178057,0.00003241084,0.00005169331,0.01059092],"genre_scores_gemma":[0.9955221,5.032331e-7,0.0009148032,0.00002484864,0.0008924386,0.00005098868,0.0001222921,0.00002263142,0.002449354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06523263,"threshold_uncertainty_score":0.9994804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110593381000624,"score_gpt":0.2352693729116148,"score_spread":0.2241634391016086,"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."}}