{"id":"W6931839717","doi":"10.5281/zenodo.7886750","title":"TCtower/GlueFL: GlueFL v1.0.0","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Artifact (error); Context (archaeology); Masking (illustration); Bandwidth (computing); Sampling (signal processing)","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":[0.002723905,0.004100918,0.002191029,0.003410683,0.000832747,0.005151745,0.007040592,0.003300434,0.3605982],"category_scores_gemma":[0.0172816,0.002537851,0.002076092,0.003472697,0.0007941153,0.004141486,0.0046189,0.003860451,0.4013081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001797953,"about_ca_system_score_gemma":0.00206168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056472,"about_ca_topic_score_gemma":0.0104805,"domain_scores_codex":[0.997888,0.000320971,0.0002021753,0.000367593,0.0009305485,0.0002905727],"domain_scores_gemma":[0.9950252,0.00134476,0.0001615492,0.002120813,0.001086182,0.0002614199],"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":[0.0001937281,0.00004384733,0.0003377588,0.0005206277,0.00007565966,0.0001127634,0.00006099453,0.003984969,0.00109995,0.006853188,0.9415379,0.04517877],"study_design_scores_gemma":[0.0004056339,0.00006765208,0.0009759195,0.0003866969,0.00006828094,0.0003206955,0.00005836631,0.05095903,0.01492276,0.038505,0.8931013,0.000228652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0007624257,0.0002942553,0.1178981,0.0002853802,0.0002726659,0.000141959,0.09112754,0.7602491,0.02896871],"genre_scores_gemma":[0.01843598,0.0005684136,0.0683937,0.0005896097,0.0001303704,0.0006087142,0.3258734,0.5502179,0.03518198],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3605982,"threshold_uncertainty_score":0.912029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0871156273855508,"score_gpt":0.2692717818562578,"score_spread":0.182156154470707,"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."}}