{"id":"W4400959391","doi":"10.1242/jeb.248079","title":"ECR Spotlight – Kayla Garvey","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":"","funders":"","keywords":"Computer science","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":[0.005584631,0.0006822821,0.0006667662,0.0009908987,0.003044294,0.004375719,0.001080895,0.003219138,0.09073667],"category_scores_gemma":[0.01763495,0.0004776521,0.0003255702,0.0006253735,0.001786968,0.004099285,0.002849766,0.00607977,0.03952606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187928,"about_ca_system_score_gemma":0.003963189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004095724,"about_ca_topic_score_gemma":0.008208866,"domain_scores_codex":[0.9960707,0.0009399759,0.0001704246,0.0006601735,0.001784295,0.0003743554],"domain_scores_gemma":[0.9808086,0.00292593,0.0007631379,0.0007526411,0.008573181,0.006176562],"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":[0.00002902983,0.00001347069,0.00008100532,0.00002762182,0.000001272671,0.0001315807,0.0002559882,0.00001602013,0.0004002651,0.0009902926,0.9890455,0.009007998],"study_design_scores_gemma":[0.000004229756,0.00002144195,0.0003183739,0.00005615373,8.206155e-7,0.0002512938,0.0006322268,0.00004160296,0.0001890086,0.0003311774,0.9981394,0.00001427559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.007734806,0.02778906,0.003533641,0.6990786,0.1428842,0.0001687021,0.0008675792,0.00243055,0.1155129],"genre_scores_gemma":[0.0384451,0.007758514,0.00274624,0.1552941,0.01760366,0.0002229829,0.0004763756,0.001883324,0.7755697],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09073667,"threshold_uncertainty_score":0.3035444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024410259134955,"score_gpt":0.2849204522057118,"score_spread":0.2646763496143622,"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."}}