{"id":"W4410041069","doi":"10.1242/jeb.250619","title":"ECR Spotlight – Chantelle Penney","year":2025,"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":[0.005341122,0.0006530891,0.0004726931,0.0008261695,0.002809116,0.004162287,0.001302574,0.002779894,0.1295318],"category_scores_gemma":[0.01224508,0.0005076409,0.000330467,0.0005324124,0.001196478,0.003164812,0.003042895,0.005298114,0.04002221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003002494,"about_ca_system_score_gemma":0.006574861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006806362,"about_ca_topic_score_gemma":0.01648493,"domain_scores_codex":[0.9957054,0.0006437741,0.0001028,0.0009904372,0.002210237,0.0003473525],"domain_scores_gemma":[0.9810454,0.002153915,0.0004953588,0.0006278452,0.007920262,0.007757199],"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":[0.00004158512,0.00001864627,0.00009815165,0.00002826689,0.000001793557,0.0001751828,0.0001899758,0.00002444933,0.000691273,0.0008177709,0.9859843,0.01192872],"study_design_scores_gemma":[0.000006316309,0.00002225897,0.0002675833,0.00003843758,7.265159e-7,0.0001710982,0.0003331736,0.00004680877,0.0002859869,0.0002707427,0.9985462,0.00001058245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01071513,0.02088307,0.007136574,0.5524135,0.1532066,0.0005202922,0.002474903,0.003479081,0.249171],"genre_scores_gemma":[0.01821163,0.0031224,0.002994223,0.05637131,0.009319707,0.0002708113,0.0005834665,0.001608336,0.9075181],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1295318,"threshold_uncertainty_score":0.4333271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548335044824294,"score_gpt":0.2769275957817066,"score_spread":0.2614442453334637,"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."}}