{"id":"W6983376600","doi":"","title":"Member spotlight: Jennifer A. Veitch","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Suspect; MEDLINE; Term (time); Public health; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001258781,0.0004817992,0.0005243586,0.0006185678,0.003710322,0.002823791,0.0008809814,0.002707483,0.3138375],"category_scores_gemma":[0.00562872,0.0003475031,0.0002175299,0.0004424295,0.0004867833,0.00173027,0.001823974,0.003189948,0.1612583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008383879,"about_ca_system_score_gemma":0.001776807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006839148,"about_ca_topic_score_gemma":0.02202848,"domain_scores_codex":[0.999318,0.0001282588,0.00002629385,0.0001255301,0.0002794401,0.0001224447],"domain_scores_gemma":[0.9956688,0.0004174718,0.0001404244,0.0001324002,0.001657917,0.001982988],"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":[0.000004612221,0.000004630825,0.00005938093,0.000009325958,2.43027e-7,0.0000148061,0.00003287835,0.000001399671,0.00002401505,0.00007501501,0.9967927,0.002980849],"study_design_scores_gemma":[0.000003123785,0.0000099615,0.0005000475,0.00004623058,0.000001819063,0.0000553238,0.0005672101,0.00001390858,0.00006447174,0.0001121479,0.9986209,0.000004912351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002507693,0.01255795,0.0009375865,0.4626734,0.122878,0.0001713314,0.0009664617,0.001687024,0.3956205],"genre_scores_gemma":[0.007242752,0.003811981,0.0003841181,0.06860106,0.009610909,0.00008819869,0.0003059743,0.0003524383,0.9096026],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3138375,"threshold_uncertainty_score":0.9787275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0375413280089605,"score_gpt":0.3074534277611556,"score_spread":0.2699120997521951,"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."}}