{"id":"W4415421546","doi":"10.1242/jeb.251622","title":"ECR Spotlight – Zandra Santa Rita","year":2025,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Career Development and Diversity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mentorship; Variety (cybernetics); Diversity (politics); Selection (genetic algorithm); Object (grammar); Graduate students","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":[0.0003117257,0.00005848993,0.0001535841,0.0001209623,0.0002261151,0.00002458686,0.0002476029,0.00008233255,0.0004675227],"category_scores_gemma":[0.00005308574,0.00004960304,0.00009064476,0.0001387632,0.0001957581,0.0001185623,0.00008480444,0.00008619235,0.00002045755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001513362,"about_ca_system_score_gemma":0.0001874642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001358947,"about_ca_topic_score_gemma":0.00005172905,"domain_scores_codex":[0.9993904,0.00008562063,0.0001823722,0.00007721483,0.0001077746,0.0001566184],"domain_scores_gemma":[0.9996508,0.00005861141,0.0001025457,0.00004891545,0.00007441347,0.00006469122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006524139,0.0005635076,0.2931455,0.000007644304,0.0003468683,0.0001351594,0.03647663,4.088078e-7,0.2965253,0.1102274,0.2561199,0.005799348],"study_design_scores_gemma":[0.001358758,0.0002180146,0.006162312,0.0000338578,0.00002601934,0.00001246389,0.03387682,5.752963e-7,0.1082736,0.00232199,0.8475392,0.0001763508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8700741,0.002833466,0.00002810794,0.001458033,0.002065835,0.00005857773,0.0000025993,0.00001207098,0.1234672],"genre_scores_gemma":[0.9975449,0.0001755504,0.0002819357,0.0004682319,0.0001625436,4.352381e-7,0.000001379706,0.000001563411,0.001363428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5914193,"threshold_uncertainty_score":0.5119046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02130961634476488,"score_gpt":0.3383758180128864,"score_spread":0.3170662016681216,"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."}}