{"id":"W4386019806","doi":"10.1242/jeb.246534","title":"ECR Spotlight – Michael Lim","year":2023,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Diversity (politics); Variety (cybernetics); Selection (genetic algorithm); Biology; Environmental ethics; Gerontology; Sociology; Anthropology; Medicine; Computer science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00499521,0.0006670817,0.0005385489,0.0008089793,0.002425383,0.004192076,0.001144093,0.00277897,0.07534201],"category_scores_gemma":[0.01246851,0.0004228615,0.0003178016,0.000518197,0.001350747,0.003291944,0.002889707,0.004652638,0.03976179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003433865,"about_ca_system_score_gemma":0.005080437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003822766,"about_ca_topic_score_gemma":0.008687953,"domain_scores_codex":[0.9959309,0.0007131269,0.0001332033,0.0007886763,0.002048537,0.0003855901],"domain_scores_gemma":[0.9866509,0.0008271981,0.0004666334,0.0003458758,0.005344642,0.006364683],"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":[0.00002988179,0.00001644876,0.0001085132,0.00002415087,0.000001616747,0.00009717387,0.0001754921,0.0000157199,0.0004193002,0.001017745,0.9889261,0.009167866],"study_design_scores_gemma":[0.000004605151,0.00001980189,0.0002539171,0.00003887137,7.766606e-7,0.0001939144,0.0003379002,0.00003688633,0.0002005931,0.0002616921,0.9986408,0.000010319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.005848902,0.02051833,0.002864136,0.6998372,0.1304595,0.0002218731,0.001054136,0.001621691,0.1375742],"genre_scores_gemma":[0.02269725,0.005431712,0.002195021,0.1571873,0.01532941,0.0002072322,0.0004094884,0.001003361,0.7955393],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07534201,"threshold_uncertainty_score":0.2520441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447996549831575,"score_gpt":0.2814756520822311,"score_spread":0.2569956865839153,"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."}}