{"id":"W4200018108","doi":"10.1086/715465","title":"About the Contributors","year":2021,"lang":"en","type":"article","venue":"Signs","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data science; Computational biology; Computer science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003220139,0.00003560331,0.00005646614,0.000006389398,0.0003272172,0.00004159905,0.0001222443,0.00004459783,0.0005060299],"category_scores_gemma":[0.0005435002,0.00002525212,0.00004397484,0.0001266108,0.0001203197,0.00002872729,0.00001836244,0.00006839091,0.0001570874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002075987,"about_ca_system_score_gemma":0.0004242036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001460139,"about_ca_topic_score_gemma":0.0007293906,"domain_scores_codex":[0.9993359,0.0001197255,0.00006056659,0.00008729582,0.0001898699,0.000206596],"domain_scores_gemma":[0.9995381,0.0001654243,0.00001936746,0.0001120768,0.00006473408,0.0001003579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000860914,0.00009671588,0.01181879,0.000009065462,0.00005932194,0.00008258551,0.5254248,0.000002749552,0.005902301,0.260472,0.1762732,0.01984988],"study_design_scores_gemma":[0.00009805072,0.00000884463,0.0008875596,0.000003125048,0.000007121319,5.68561e-7,0.09446926,4.95818e-7,0.001147992,0.002093461,0.9012347,0.00004886094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2035087,0.00301872,0.0003443657,0.01574093,0.003278924,0.0002337702,0.00001606013,0.0001173724,0.7737412],"genre_scores_gemma":[0.9779259,0.0001852766,0.00001895017,0.001140322,0.000505263,0.000006440205,0.000004217096,0.000003222869,0.0202104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7744172,"threshold_uncertainty_score":0.5540673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04371188559510778,"score_gpt":0.327292096584384,"score_spread":0.2835802109892762,"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."}}