{"id":"W4393378723","doi":"10.1002/jemt.24353","title":"Issue Information","year":2024,"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":"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001007892,0.001197185,0.001258324,0.002414856,0.001292903,0.006281095,0.001541206,0.002231804,0.9116234],"category_scores_gemma":[0.005738571,0.000482711,0.0007564015,0.002525768,0.0004146154,0.003418023,0.001669439,0.001875554,0.8772415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408233,"about_ca_system_score_gemma":0.002068801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002975999,"about_ca_topic_score_gemma":0.005513404,"domain_scores_codex":[0.999196,0.00008361773,0.00006143715,0.0001119342,0.0004441114,0.0001029348],"domain_scores_gemma":[0.9964895,0.0004127132,0.0001415279,0.0003001659,0.001690971,0.0009651938],"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":[0.00001227395,0.000009067539,0.00002091963,0.00007424339,6.410589e-7,0.000007524593,0.000003147078,0.00001704123,0.00003928125,0.0005530911,0.9821603,0.0171023],"study_design_scores_gemma":[0.000008044633,0.000007338525,0.0001214551,0.00007006769,7.987342e-7,0.00001680424,0.00001023688,0.0000240132,0.00004056289,0.0004548395,0.9992429,0.000002874273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002092595,0.001291562,0.0007543764,0.004053426,0.01767907,0.0003695287,0.02593002,0.002146613,0.947566],"genre_scores_gemma":[0.0005921779,0.0007276799,0.0002682238,0.001475238,0.001870938,0.00009228866,0.009270127,0.0004882352,0.9852151],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08837664,"threshold_uncertainty_score":0.1260585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06045929265116569,"score_gpt":0.3320898455362339,"score_spread":0.2716305528850683,"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."}}