{"id":"W6931749426","doi":"10.5281/zenodo.7540462","title":"silx-kit/pyFAI: pyFAI 2023.1","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xenon Pharmaceuticals (Canada)","funders":"","keywords":"Python (programming language); Code refactoring; Software; Compatibility (geochemistry); Continuation; Class (philosophy)","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":[0.002840453,0.004104556,0.002593885,0.002379394,0.002167827,0.004561935,0.006321424,0.002098076,0.362967],"category_scores_gemma":[0.009421512,0.003797303,0.002853292,0.002174326,0.0008924897,0.00661729,0.006525293,0.006456977,0.5219566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955183,"about_ca_system_score_gemma":0.002672588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004398499,"about_ca_topic_score_gemma":0.003394412,"domain_scores_codex":[0.9979685,0.0001885403,0.0001418561,0.0004839428,0.0008462308,0.0003709547],"domain_scores_gemma":[0.9971222,0.0004311932,0.0001658217,0.0009343305,0.0009889076,0.0003574903],"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":[0.0001894725,0.00002984921,0.0005409968,0.0003758213,0.00005348896,0.00004593489,0.00009010691,0.0004677914,0.002901525,0.002162415,0.9717113,0.02143126],"study_design_scores_gemma":[0.0001092595,0.00002401874,0.001376731,0.0001457742,0.00003680716,0.0001931988,0.00003720109,0.00357431,0.01479723,0.004958977,0.9746023,0.0001441967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001098255,0.0003031732,0.07633933,0.0005777517,0.0005713674,0.000130492,0.07103144,0.8267913,0.02315686],"genre_scores_gemma":[0.005984151,0.0003391756,0.04810628,0.0009149326,0.0001605584,0.0006764625,0.136939,0.7739225,0.03295688],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.362967,"threshold_uncertainty_score":0.9086502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03990932653644664,"score_gpt":0.2698126237085925,"score_spread":0.2299032971721459,"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."}}