{"id":"W4385310286","doi":"10.1002/jemt.24160","title":"Issue Information","year":2023,"lang":"en","type":"paratext","venue":"Microscopy Research and Technique","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001983982,0.0002127741,0.0005094298,0.00114875,0.0003931815,0.0004774989,0.0004036234,0.000366862,0.01974711],"category_scores_gemma":[0.0001217222,0.000241747,0.00007349016,0.0005039005,0.0004153483,0.0003687408,0.0005429658,0.0006352868,0.6026303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001586423,"about_ca_system_score_gemma":0.00005599021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007385687,"about_ca_topic_score_gemma":0.000007893555,"domain_scores_codex":[0.9981982,0.00001971246,0.0005627674,0.0005201614,0.0000671837,0.0006320132],"domain_scores_gemma":[0.9990667,0.00007737439,0.0001982385,0.000425909,0.0001102469,0.0001215937],"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":[0.00001018231,0.00001459593,0.00002111316,0.000171578,0.00003647868,0.000001184595,0.000196475,3.449073e-7,0.00004557814,0.004403436,0.9947275,0.0003715682],"study_design_scores_gemma":[0.0001355662,0.00008196945,0.00001423913,0.00007422474,0.000001156229,0.000001418987,0.0001929757,0.000009394871,0.0009456071,0.00466805,0.9936406,0.000234799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008375121,0.002756955,0.0006776757,0.0003475671,0.003971456,0.0008669765,0.003961935,0.00008462564,0.9872491],"genre_scores_gemma":[0.0002293717,0.008020678,0.0006226175,0.00009233606,0.0002276377,0.0004053298,0.0003265723,0.00003406018,0.9900414],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5828831,"threshold_uncertainty_score":0.9858156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08218563866024439,"score_gpt":0.3386222792590872,"score_spread":0.2564366405988427,"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."}}