{"id":"W3011605156","doi":"10.23919/ursirsb.2016.7910005","title":"Women in radio science","year":2016,"lang":"en","type":"article","venue":"URSI Radio Science Bulletin","topic":"Space exploration and regulation","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meteor (satellite); Astronomy; Physics; Library science; Astrophysics; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001432802,0.000100544,0.0001136955,0.0003329846,0.0003068411,0.0001284819,0.0005001422,0.00001697524,0.001638629],"category_scores_gemma":[0.0000617945,0.00006852822,0.00002681329,0.00117585,0.001445472,0.0004272563,0.00006010151,0.00005756975,0.0004881902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000334273,"about_ca_system_score_gemma":0.0003984554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003368612,"about_ca_topic_score_gemma":0.00000107451,"domain_scores_codex":[0.9982867,0.00002246846,0.000157762,0.000413895,0.0004880021,0.0006312348],"domain_scores_gemma":[0.9993035,0.00003593933,0.00007000946,0.0002760112,0.00008714786,0.0002273769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005082085,0.0003424429,0.1726542,0.000005225908,0.000009209178,0.000004972359,0.00869312,0.0004273872,0.3909955,0.2180255,0.01251226,0.1962794],"study_design_scores_gemma":[0.005094801,0.0002970494,0.4322131,0.0002354092,0.000009271942,0.00001136884,0.008001839,0.002825214,0.1430707,0.01928678,0.3874621,0.001492353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666341,0.00001727899,0.003700474,0.009290319,0.0004987315,0.0001884105,0.000002803794,0.00004254398,0.01962532],"genre_scores_gemma":[0.9950488,0.000001720773,0.0005570624,0.00005186621,0.0001603783,0.0000248967,5.004789e-7,0.000006095742,0.004148718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3749498,"threshold_uncertainty_score":0.999274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008966462423775787,"score_gpt":0.2305687504489691,"score_spread":0.2216022880251933,"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."}}