{"id":"W6930606442","doi":"10.5281/zenodo.15172686","title":"CARTA: The Cube Analysis and Rendering Tool for Astronomy","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neurogenesis and neuroplasticity mechanisms","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Rendering (computer graphics); Data cube; Visualization; Scalability; Usability; Cube (algebra); 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002992085,0.0002327816,0.0002449309,0.0004560386,0.0009627673,0.001014566,0.0007529983,0.0000795178,0.004783954],"category_scores_gemma":[0.0005051998,0.0001924761,0.0001351324,0.0007420641,0.0001490839,0.00006350312,0.0009637197,0.0002629066,0.002249021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003501258,"about_ca_system_score_gemma":0.000003205936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007663933,"about_ca_topic_score_gemma":9.398465e-7,"domain_scores_codex":[0.998058,0.0002691131,0.0002100136,0.0008017061,0.0003069332,0.0003543017],"domain_scores_gemma":[0.9991276,0.00008046097,0.0001240457,0.0005044196,0.00006216881,0.0001013281],"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":[0.00004936854,0.00007221658,7.992477e-7,0.0002945988,0.000280571,0.00003906613,0.0003021928,0.00003130888,0.06065011,0.01303948,0.8981848,0.02705543],"study_design_scores_gemma":[0.0001562307,0.0001115584,0.000009402741,0.00002875556,0.000249107,0.0000483869,0.00003127849,0.0002478649,0.01315553,0.00004980199,0.985727,0.0001850605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005937228,0.0008374209,0.1083471,0.001734814,0.001539233,0.004713495,0.004900143,0.005515006,0.8664755],"genre_scores_gemma":[0.1892992,0.001280344,0.001628119,0.001528204,0.00198241,0.00000248238,0.001067423,0.04059779,0.762614],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.183362,"threshold_uncertainty_score":0.9985278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0436578837239269,"score_gpt":0.2544081436156349,"score_spread":0.210750259891708,"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."}}