{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003970112,0.0004279442,0.0003420247,0.000697191,0.003559534,0.002649742,0.0009985998,0.001607157,0.04098752],"category_scores_gemma":[0.009022667,0.0004006716,0.0002586628,0.0003554994,0.0009924331,0.001686861,0.002517912,0.004057246,0.01095177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002735833,"about_ca_system_score_gemma":0.004721797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00708598,"about_ca_topic_score_gemma":0.02030658,"domain_scores_codex":[0.9977224,0.0005128779,0.0000508473,0.000396285,0.001008534,0.0003088962],"domain_scores_gemma":[0.9945346,0.0007383894,0.000222863,0.0003060952,0.002178184,0.002019918],"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":[0.0001074014,0.000061035,0.0005021342,0.00009923147,0.000004897567,0.0003138005,0.00198066,0.00005619624,0.002535426,0.004229762,0.9518731,0.03823639],"study_design_scores_gemma":[0.000004367566,0.00001636748,0.0007346451,0.00005441273,0.000001419352,0.0001835423,0.0008863691,0.00005056023,0.000317732,0.0002427699,0.9974989,0.000008794617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.04675423,0.03982703,0.00565205,0.5365543,0.06953595,0.0004343315,0.001378224,0.001645316,0.2982186],"genre_scores_gemma":[0.1019363,0.009405298,0.004384466,0.05557558,0.004846264,0.0003230663,0.0004715817,0.0008212101,0.8222364],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04098752,"threshold_uncertainty_score":0.1371169,"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."}}