{"id":"W4390749974","doi":"10.1242/jeb.247113","title":"ECR Spotlight – Lauren Rowsey","year":2024,"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":"University of New Brunswick","funders":"","keywords":"Variety (cybernetics); Selection (genetic algorithm); Diversity (politics); Biology; Dormancy; Experimental biology; Ecology; Overwintering; Environmental ethics; Cognitive science; Sociology; Psychology; Anthropology; Computer science; Philosophy; Computational biology; Artificial intelligence; Botany","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":[0.004166678,0.0007918804,0.0005834083,0.0008741615,0.002441739,0.004418768,0.001061121,0.002755183,0.0802262],"category_scores_gemma":[0.009700741,0.0004833915,0.0003543367,0.000495204,0.001260517,0.003017235,0.002719605,0.005224087,0.03465353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003088861,"about_ca_system_score_gemma":0.005061948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007109076,"about_ca_topic_score_gemma":0.01755321,"domain_scores_codex":[0.9963708,0.0005215284,0.0001325593,0.0008844177,0.001727214,0.0003634427],"domain_scores_gemma":[0.9870152,0.001054967,0.0004044398,0.0003794208,0.005248946,0.005896952],"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":[0.00002554538,0.00001269578,0.00008427961,0.00002408166,0.000001522997,0.00009231321,0.0001028796,0.00001622494,0.0003615977,0.0007964802,0.989723,0.008759498],"study_design_scores_gemma":[0.000003285319,0.00001617166,0.0003090843,0.00004467264,6.422623e-7,0.0001727216,0.0002571307,0.00002821141,0.0001324391,0.0002136497,0.9988136,0.000008336151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004334477,0.03094726,0.001721081,0.5797701,0.2512295,0.0001363803,0.001027311,0.0008295545,0.1300044],"genre_scores_gemma":[0.01613894,0.008312239,0.001535055,0.1005096,0.0265109,0.0001140845,0.0004414128,0.0007417713,0.845696],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0802262,"threshold_uncertainty_score":0.2683834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168236478125159,"score_gpt":0.2777213137818293,"score_spread":0.2608976659693134,"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."}}