{"id":"W4411866043","doi":"10.1002/jemt.24606","title":"Issue Information","year":2025,"lang":"en","type":"paratext","venue":"Microscopy Research and Technique","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Computational biology; Computer science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008245151,0.0002343673,0.0002685263,0.001256436,0.0004118634,0.001158423,0.0003772767,0.0003374922,0.003650196],"category_scores_gemma":[0.0001379772,0.0002227193,0.00004329344,0.001066102,0.0001864312,0.001081059,0.0005137218,0.0008651249,0.02082042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006090167,"about_ca_system_score_gemma":0.0001682447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008223454,"about_ca_topic_score_gemma":0.00002711117,"domain_scores_codex":[0.9985954,0.00002276756,0.0003190512,0.0002969805,0.0003374394,0.000428429],"domain_scores_gemma":[0.9986651,0.00005001559,0.0002213748,0.0003391073,0.0007044109,0.00002000199],"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":[0.00003577721,0.00002429258,0.00003297571,0.00115454,0.000007833145,0.00000145679,0.000007667973,2.89798e-7,0.003831177,0.002119509,0.9843953,0.008389204],"study_design_scores_gemma":[0.000153717,0.000018043,0.00002163919,0.0004140172,0.00000436191,7.294916e-7,0.00003739137,0.00002377082,0.007655162,0.001716258,0.9897491,0.000205789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003519544,0.0008844955,0.005833683,0.00209255,0.001031362,0.001839364,0.00008497004,0.0001785583,0.9877031],"genre_scores_gemma":[0.007544613,0.001899161,0.001720143,0.004071437,0.002406909,0.00115763,0.002225777,0.00005513814,0.9789192],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01717022,"threshold_uncertainty_score":0.9998785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849191972853711,"score_gpt":0.3395898072086702,"score_spread":0.3110978874801331,"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."}}