{"id":"W7087762849","doi":"10.5281/zenodo.17312776","title":"napari: a multi-dimensional image viewer for Python","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Zoom; Python (programming language); Documentation; Image manipulation; Checklist; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001597609,0.002190854,0.001234743,0.001700336,0.0008874066,0.003337228,0.005183274,0.001458772,0.2996292],"category_scores_gemma":[0.004596367,0.002467369,0.002197176,0.001132579,0.0006103311,0.005397354,0.004442998,0.004882648,0.2763597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008128753,"about_ca_system_score_gemma":0.001774856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003969925,"about_ca_topic_score_gemma":0.005341049,"domain_scores_codex":[0.9990216,0.0001277328,0.00009838182,0.0001910117,0.0004136365,0.0001475823],"domain_scores_gemma":[0.9984105,0.000335433,0.0001047307,0.0003906326,0.0005695543,0.0001891716],"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":[0.00009570583,0.00001730121,0.0001771458,0.000362686,0.00003233177,0.00005491408,0.000110661,0.0003628245,0.002062219,0.002391625,0.9704775,0.02385512],"study_design_scores_gemma":[0.0001236852,0.0000269069,0.001202195,0.0001945512,0.00002763913,0.0003528084,0.00007001744,0.006545255,0.008515692,0.009384475,0.9733856,0.0001712391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0005723228,0.0003791206,0.1419142,0.0004061904,0.0004545279,0.000191308,0.06373381,0.7686512,0.02369731],"genre_scores_gemma":[0.01140308,0.0006603641,0.1464376,0.001358616,0.0002051968,0.001143721,0.1573725,0.6321927,0.04922611],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2996292,"threshold_uncertainty_score":0.9989939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3765012431729193,"score_gpt":0.4797487907059156,"score_spread":0.1032475475329964,"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."}}