{"id":"W4320084604","doi":"10.1007/978-3-031-20719-8_1","title":"Data, Models, and Software","year":2022,"lang":"en","type":"book-chapter","venue":"Use R!","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Sculpture; Representation (politics); Software; Computer science; Computer graphics (images); Artificial intelligence; Engineering drawing; Visual arts; Engineering; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.00412466,0.002681219,0.001889664,0.004473085,0.0007563852,0.006234587,0.002980759,0.001885238,0.1468673],"category_scores_gemma":[0.02262277,0.002301306,0.001561507,0.008567285,0.001488757,0.006867059,0.003283986,0.00412127,0.2162868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009691092,"about_ca_system_score_gemma":0.001975478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005042617,"about_ca_topic_score_gemma":0.005890703,"domain_scores_codex":[0.9962113,0.001255611,0.0002888654,0.000614754,0.001531182,0.00009840867],"domain_scores_gemma":[0.9873515,0.009176243,0.0002729661,0.001905577,0.001120987,0.0001727292],"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":[0.00001124219,0.00001310552,0.000178842,0.0006599854,0.00004865264,0.00004661789,0.0001486278,0.001240351,0.00029795,0.05737212,0.7914129,0.1485696],"study_design_scores_gemma":[0.000007452942,0.000005779985,0.0002367254,0.0002664498,0.00002055485,0.0001152289,0.00004446628,0.001921515,0.0003970833,0.05787499,0.9390836,0.00002614155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0005897722,0.01470246,0.5876305,0.007966129,0.002687206,0.0002603016,0.04829385,0.06548814,0.2723816],"genre_scores_gemma":[0.0092451,0.02289564,0.4153042,0.005879155,0.001943664,0.001610673,0.06192887,0.09527715,0.3859156],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1468673,"threshold_uncertainty_score":0.4913203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1428128428413013,"score_gpt":0.3128807255960471,"score_spread":0.1700678827547458,"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."}}