{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001062892,0.001204786,0.001257403,0.002440482,0.001315654,0.006536432,0.001597927,0.002363232,0.9085266],"category_scores_gemma":[0.005833108,0.0004806047,0.0007823626,0.002531451,0.000428613,0.003494276,0.001718462,0.001963543,0.8747621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452722,"about_ca_system_score_gemma":0.002174916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003016805,"about_ca_topic_score_gemma":0.005450448,"domain_scores_codex":[0.9991537,0.00008716169,0.00006421367,0.0001194243,0.000468105,0.0001074334],"domain_scores_gemma":[0.9963882,0.0004157659,0.0001465161,0.0003136828,0.001754975,0.0009807913],"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":[0.00001217492,0.000009224513,0.00002074896,0.00007684716,6.666646e-7,0.000007854139,0.000003258977,0.00001734922,0.00004040091,0.0005965153,0.9820593,0.01715568],"study_design_scores_gemma":[0.000007941847,0.00000736778,0.0001210106,0.00007135505,7.982352e-7,0.0000172305,0.00001014624,0.00002390314,0.0000402334,0.0004829529,0.9992142,0.000002873287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000204387,0.001326667,0.0007793713,0.004127131,0.01824046,0.000384484,0.02537586,0.002141513,0.9474201],"genre_scores_gemma":[0.0006236561,0.0007817643,0.0002864347,0.001590262,0.00199241,0.00009754972,0.00968786,0.0005082132,0.9844318],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0914734,"threshold_uncertainty_score":0.1304757,"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."}}