{"id":"W4405428886","doi":"10.18274/hkww5437","title":"Wild Adaptation","year":2023,"lang":"en","type":"article","venue":"Borrowers and Lenders The Journal of Shakespeare Appropriations","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Adaptation (eye); Biology; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00385787,0.0004374747,0.0004853843,0.001116409,0.004763394,0.004563143,0.001377262,0.001659324,0.01817412],"category_scores_gemma":[0.008191071,0.0002139492,0.0004141817,0.001160888,0.02011105,0.007084464,0.006077845,0.002833645,0.00204446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003638366,"about_ca_system_score_gemma":0.001670591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004525359,"about_ca_topic_score_gemma":0.007042443,"domain_scores_codex":[0.9962732,0.001506042,0.0001570486,0.0009735151,0.0006064757,0.0004837516],"domain_scores_gemma":[0.9970407,0.0008761264,0.0001542998,0.00133759,0.0004287533,0.00016258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001210701,0.000009869346,0.001255336,0.00003913137,0.000006624563,0.0001274141,0.01335168,0.0001107245,0.0002803468,0.9538959,0.006617577,0.02429339],"study_design_scores_gemma":[0.000004543742,0.00003168193,0.003339676,0.0001627722,0.000008565938,0.0004620162,0.01333711,0.000400323,0.0004284458,0.3180976,0.6637049,0.00002242805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05200397,0.002238712,0.03645882,0.01133094,0.0007748025,0.0000939969,0.0002281206,0.0002246311,0.896646],"genre_scores_gemma":[0.876337,0.001248044,0.008216892,0.003346035,0.0002267534,0.0001250378,0.000214258,0.000288591,0.1099973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01817412,"threshold_uncertainty_score":0.06079847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05818239862992338,"score_gpt":0.3022950930241722,"score_spread":0.2441126943942488,"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."}}