{"id":"W4293223736","doi":"10.11159/mvml22.106","title":"Investigating the Interaction between Data and Algorithms","year":2022,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02324671,0.00184101,0.001451873,0.002234854,0.0009813692,0.006639305,0.002489617,0.003323657,0.003014014],"category_scores_gemma":[0.1997897,0.001347432,0.0010687,0.002130342,0.003594709,0.01688609,0.004106474,0.006809318,0.0007627248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002785292,"about_ca_system_score_gemma":0.001778125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002306099,"about_ca_topic_score_gemma":0.002610208,"domain_scores_codex":[0.9704356,0.01576834,0.001285471,0.00474128,0.006568098,0.001201174],"domain_scores_gemma":[0.680159,0.2854602,0.007542291,0.01726067,0.008083471,0.001494336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00203222,0.001709651,0.06518308,0.001449802,0.001110357,0.0003819941,0.001091647,0.5450177,0.01922393,0.1222385,0.008492089,0.2320691],"study_design_scores_gemma":[0.00007241442,0.000402263,0.007592376,0.0001431252,0.0001472197,0.0001480553,0.0004857476,0.8813294,0.00945133,0.09673342,0.003417006,0.00007757443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5394812,0.007687986,0.4133121,0.01818821,0.0003966175,0.0002823252,0.000977579,0.001952543,0.01772158],"genre_scores_gemma":[0.9037604,0.001067102,0.09115868,0.001116602,0.0001896717,0.0002065168,0.0005848717,0.0007015432,0.001214607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02324671,"threshold_uncertainty_score":0.1229418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02276986020389038,"score_gpt":0.2522111478606319,"score_spread":0.2294412876567415,"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."}}