{"id":"W1916061238","doi":"10.1111/j.1365-2966.2010.16640.x","title":"The local star formation rate density: assessing calibrations using [O ii], H and UV luminosities","year":2010,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Science and Technology Facilities Council","keywords":"Physics; Astrophysics; Redshift; Galaxy; Star formation; Metallicity; Extinction (optical mineralogy); Stellar mass; Sky; Estimator; Universe; Astronomy; Galaxy formation and evolution; Statistics; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.00364082,0.0004987516,0.0003496915,0.002830236,0.0002514645,0.0009577287,0.0007297314,0.0004348578,0.000600157],"category_scores_gemma":[0.01052288,0.0002254557,0.0004051462,0.00279875,0.0006399716,0.0009081141,0.001061714,0.0003354179,0.0004418987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005245986,"about_ca_system_score_gemma":0.0002283551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01564915,"about_ca_topic_score_gemma":0.01945743,"domain_scores_codex":[0.9988148,0.0004357803,0.00007372232,0.0003505977,0.0002626827,0.00006246644],"domain_scores_gemma":[0.9916018,0.002974595,0.002437995,0.001457051,0.001084616,0.0004439231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001955312,0.00001114264,0.9886544,0.00001541137,0.00007833423,0.000009868535,0.0001351501,0.001792444,0.0003813632,0.0002137755,0.0001248018,0.008563778],"study_design_scores_gemma":[0.00000483193,0.00004498872,0.9882417,0.00001430079,0.00002382119,0.00004542658,0.0001477314,0.009613691,0.0008588796,0.000372839,0.0006203713,0.00001130689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860826,0.0004923487,0.009586906,0.00007442886,0.000008009254,0.00002524916,0.0009053665,0.0001753007,0.002649689],"genre_scores_gemma":[0.9946216,0.0001629411,0.003913171,0.00002112036,0.00001134955,0.00001417031,0.00100923,0.00002494886,0.0002215106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01564915,"threshold_uncertainty_score":0.03111613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007876613534010032,"score_gpt":0.2050381638787963,"score_spread":0.1971615503447863,"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."}}