{"id":"W3021451277","doi":"10.1093/mnras/staa1279","title":"The e-MERGE Survey (e-MERLIN Galaxy Evolution Survey): overview and survey description","year":2020,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica; Horizon 2020; Science and Technology Facilities Council; European Commission; University of Manchester; University of Southampton; Associated Universities; National Radio Astronomy Observatory; Institut sur la Nutrition et les Aliments Fonctionnels; National Science Foundation","keywords":"Physics; Merge (version control); Merlin (protein); Astronomy; Galaxy formation and evolution; Survey research; Astrophysics; Galaxy; Survey data collection; Information retrieval; Medicine; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001279189,0.000666197,0.0003595572,0.005967045,0.0002889759,0.0008590467,0.00094892,0.000287619,0.008623501],"category_scores_gemma":[0.001136286,0.0003644341,0.000308551,0.008495785,0.0001579752,0.001075059,0.001087161,0.0004163175,0.00596737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007616095,"about_ca_system_score_gemma":0.0009969833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0192496,"about_ca_topic_score_gemma":0.02275909,"domain_scores_codex":[0.9994693,0.00008052972,0.00006340174,0.0001507483,0.0001673767,0.00006862382],"domain_scores_gemma":[0.999188,0.00008134641,0.0001573074,0.0001043236,0.0003398035,0.000129196],"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":[0.0002717642,0.0001812659,0.3109349,0.002164411,0.0001879756,0.000169237,0.0004414681,0.002163318,0.007366492,0.003918118,0.3701571,0.302044],"study_design_scores_gemma":[0.00002973952,0.00009908117,0.2801484,0.0002899123,0.00003773721,0.0003971135,0.0003140498,0.0008319147,0.00102046,0.0009651212,0.7158267,0.00003983195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.07097423,0.01586686,0.02819075,0.001945667,0.0002082309,0.002182496,0.8373957,0.00304522,0.04019091],"genre_scores_gemma":[0.05941935,0.01351916,0.06510216,0.001027899,0.0002724252,0.002275269,0.8450698,0.0005740322,0.01274],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.0192496,"threshold_uncertainty_score":0.03827506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294000212023713,"score_gpt":0.2171779838732446,"score_spread":0.1942379817530075,"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."}}