{"id":"W6930685623","doi":"10.5281/zenodo.14206175","title":"khanlab/zarrnii: upsample, downsample","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Product (mathematics); Process (computing); Filter (signal processing); Noise (video)","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":[0.001350324,0.003245434,0.001230424,0.001839784,0.0009424867,0.002906797,0.004044684,0.001642105,0.3459554],"category_scores_gemma":[0.007018409,0.002005671,0.001399514,0.001466995,0.0005820756,0.003895831,0.003576348,0.002711157,0.3376789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001340142,"about_ca_system_score_gemma":0.001269069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005275087,"about_ca_topic_score_gemma":0.007883115,"domain_scores_codex":[0.998801,0.00008369922,0.00007223724,0.0002661937,0.0006201112,0.0001567503],"domain_scores_gemma":[0.9984183,0.0002179372,0.0000861444,0.0005438619,0.0005751843,0.0001585177],"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":[0.0003729398,0.00004097237,0.0006234111,0.0002901258,0.00005117646,0.00007404895,0.00008018842,0.0009126028,0.005490598,0.00219814,0.9026738,0.08719208],"study_design_scores_gemma":[0.0002180076,0.00005636136,0.001485773,0.0001145765,0.00005802836,0.0002862763,0.00005409478,0.01376208,0.04073399,0.0069935,0.9360712,0.0001659869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001313137,0.0004755315,0.1241831,0.0005040382,0.0007616141,0.0001053514,0.01962151,0.8225987,0.03043696],"genre_scores_gemma":[0.02423944,0.0006396956,0.1427861,0.001524779,0.0003157231,0.0003809664,0.06230652,0.6737329,0.09407386],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3459554,"threshold_uncertainty_score":0.9329153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0577528342736465,"score_gpt":0.2402620330814268,"score_spread":0.1825091988077803,"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."}}