{"id":"W6910954361","doi":"10.48550/arxiv.2009.13345","title":"The GOGREEN and GCLASS Surveys: First Data Release","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Galaxies: Formation, Evolution, Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Redshift; Range (aeronautics); Galaxy; Data quality; Data collection","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":[0.001779375,0.001262142,0.0009819504,0.006043078,0.0006330032,0.001663031,0.001822395,0.00109286,0.04071293],"category_scores_gemma":[0.008269952,0.0007184675,0.0004790022,0.007753035,0.0004122313,0.001451402,0.002713027,0.001144169,0.04662266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146594,"about_ca_system_score_gemma":0.002125795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03974053,"about_ca_topic_score_gemma":0.04283045,"domain_scores_codex":[0.9981001,0.000156767,0.0001209183,0.000245396,0.0009652126,0.0004117019],"domain_scores_gemma":[0.9932784,0.0009569867,0.0007138874,0.001706869,0.002357963,0.0009858207],"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":[0.0001818668,0.0000669238,0.006020498,0.0001583545,0.00002758962,0.00003552246,0.00008329596,0.0002707676,0.0006215582,0.0009688933,0.9808424,0.01072244],"study_design_scores_gemma":[0.0001641843,0.00003126623,0.05177027,0.00007198899,0.00002275488,0.00007031722,0.0001357006,0.0003553744,0.001046777,0.001198036,0.9450783,0.00005507331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002361411,0.00004439611,0.0004919095,0.0001663135,0.00005328412,0.00006394486,0.9919401,0.001542581,0.003336093],"genre_scores_gemma":[0.003059842,0.00004048002,0.001115971,0.000113306,0.00003371721,0.0001601692,0.9919268,0.0005740434,0.00297556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04071293,"threshold_uncertainty_score":0.1361983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07231047959045205,"score_gpt":0.1839412996063236,"score_spread":0.1116308200158716,"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."}}