{"id":"W6950132118","doi":"10.5281/zenodo.16571108","title":"napari: a multi-dimensional image viewer for Python","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Zoom; Slicing; Python (programming language); Visualization; Graphical user interface; Feature (linguistics); Focus (optics); 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":[],"consensus_categories":[],"category_scores_codex":[0.001878581,0.002333147,0.001522128,0.001721747,0.0009673591,0.003965083,0.005988536,0.001543981,0.2723985],"category_scores_gemma":[0.004743178,0.002540327,0.00246619,0.001362806,0.0006743326,0.005698321,0.00464128,0.005039359,0.2316475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008297209,"about_ca_system_score_gemma":0.00206251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003577116,"about_ca_topic_score_gemma":0.00491247,"domain_scores_codex":[0.9989813,0.0001496128,0.0001162298,0.0002071123,0.00038076,0.0001649678],"domain_scores_gemma":[0.9985406,0.0003674993,0.0000976433,0.0003223322,0.0005095473,0.0001622882],"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":[0.0001544464,0.00002705868,0.0002118618,0.0006796407,0.00006541888,0.0000814162,0.0001620148,0.0006761962,0.003208347,0.00414071,0.9627929,0.02779995],"study_design_scores_gemma":[0.0001883156,0.00004061482,0.001307272,0.0003119027,0.00004644338,0.0004435691,0.0001035994,0.01297577,0.01175657,0.01735988,0.9552113,0.0002548554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0006084761,0.0004362083,0.2150126,0.0003858931,0.0004565662,0.0002568088,0.06935502,0.6954535,0.01803486],"genre_scores_gemma":[0.01398462,0.0008917615,0.2453342,0.00161058,0.0002353112,0.001941734,0.1782116,0.5209918,0.03679839],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2723985,"threshold_uncertainty_score":0.9112638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379850216804148,"score_gpt":0.2276535561535729,"score_spread":0.2038550539855314,"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."}}