{"id":"W4387171463","doi":"10.1242/jeb.246728","title":"ECR Spotlight – Anuradha Batabyal","year":2023,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Neuroendocrine regulation and behavior","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Diversity (politics); Selection (genetic algorithm); Experimental biology; Value (mathematics); Ecology; Cognitive science; Biology; Engineering ethics; Library science; Psychology; Sociology; Computer science; Engineering; Anthropology; Computational biology; Artificial intelligence","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":[0.005686778,0.000521083,0.0006264371,0.0008077075,0.004445863,0.004420867,0.0009556008,0.001935718,0.04662012],"category_scores_gemma":[0.01386878,0.0004453808,0.0003339894,0.0008415073,0.001552981,0.004756191,0.002418018,0.006526941,0.01656063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002058209,"about_ca_system_score_gemma":0.0038301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002036696,"about_ca_topic_score_gemma":0.003916509,"domain_scores_codex":[0.9964658,0.001071036,0.0001297288,0.0005669349,0.001446901,0.0003195765],"domain_scores_gemma":[0.9808776,0.003979785,0.0007081765,0.000812805,0.008077663,0.005543946],"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":[0.00004509444,0.00004264109,0.000247003,0.00009186158,0.000004157205,0.0003191799,0.00203468,0.00002245736,0.001297473,0.003076991,0.9708684,0.02195008],"study_design_scores_gemma":[0.000004688253,0.0000294051,0.0006066153,0.00006608095,0.000001504294,0.0006437544,0.002061767,0.00003934597,0.0002283452,0.0005272683,0.9957747,0.0000165094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.02147879,0.05607975,0.004632931,0.6482353,0.1182332,0.0002758281,0.0008522438,0.001176031,0.1490359],"genre_scores_gemma":[0.08848356,0.02124376,0.006340641,0.2067031,0.02407406,0.0003735532,0.0005293023,0.001585233,0.6506667],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.04662012,"threshold_uncertainty_score":0.1559598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05009396359498924,"score_gpt":0.4029243346127274,"score_spread":0.3528303710177381,"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."}}