{"id":"W4385836974","doi":"10.1242/jeb.246443","title":"ECR Spotlight – Brittney G. Borowiec","year":2023,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Variety (cybernetics); Diversity (politics); Selection (genetic algorithm); Experimental biology; Biology; Library science; Engineering ethics; Sociology; Computer science; Computational biology; Engineering; Anthropology; Artificial intelligence","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":[0.007679256,0.0008155952,0.0006321845,0.001246948,0.00247233,0.004882198,0.001349398,0.003787875,0.1252948],"category_scores_gemma":[0.01594183,0.0004778848,0.0003225029,0.00103571,0.00157619,0.004464462,0.003658989,0.00535984,0.04601853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003110692,"about_ca_system_score_gemma":0.005363777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004704343,"about_ca_topic_score_gemma":0.007905129,"domain_scores_codex":[0.9949899,0.0008653021,0.0001859052,0.0009034998,0.002490461,0.0005649012],"domain_scores_gemma":[0.9736589,0.00310551,0.0008618393,0.0009361731,0.01094765,0.01048996],"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":[0.00003092986,0.00001118123,0.00004359983,0.00003583252,0.000001006058,0.00005613995,0.000120347,0.000008616142,0.0003251842,0.0007166474,0.9885888,0.0100618],"study_design_scores_gemma":[0.000004415373,0.00001707438,0.0002567511,0.00004793425,5.81755e-7,0.00008432,0.0002229131,0.00001459885,0.0001066577,0.0001741417,0.9990633,0.000007135431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004267089,0.03970158,0.002066634,0.5721177,0.2204087,0.0002899602,0.001498526,0.001243726,0.1584062],"genre_scores_gemma":[0.01915505,0.01183037,0.00225365,0.1033145,0.02552281,0.0002837265,0.0009760867,0.001518271,0.8351454],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1252948,"threshold_uncertainty_score":0.4191529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922579021806072,"score_gpt":0.2812053251962917,"score_spread":0.261979534978231,"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."}}