{"id":"W7115722619","doi":"10.5281/zenodo.17951903","title":"From AutoCad to AutoCod","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Architecture, Modernity, and Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Architecture; Population; Fishing; Multidisciplinary approach; Fish <Actinopterygii>; Confusion; Government (linguistics); Population dynamics of fisheries","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001981332,0.0001330857,0.0001269257,0.0002424759,0.0007894958,0.0003680889,0.0006854572,0.00006140589,0.003922213],"category_scores_gemma":[0.0002030929,0.0001453949,0.00003960537,0.0004403487,0.00004459986,0.00009617558,0.0005017727,0.0002382513,0.007787274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180323,"about_ca_system_score_gemma":0.000002731786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002166809,"about_ca_topic_score_gemma":5.953925e-7,"domain_scores_codex":[0.9989673,0.000101531,0.0001716074,0.0002709698,0.0001923603,0.000296199],"domain_scores_gemma":[0.9992871,0.0000261347,0.00001548556,0.0003987749,0.0001263289,0.0001462031],"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":[0.00004887049,0.00005533615,0.000003680862,0.00006893049,0.00009231993,0.00001165589,0.002677058,0.01081499,0.01157575,0.00361889,0.7019596,0.2690729],"study_design_scores_gemma":[0.000254917,0.0000523583,0.0007928516,0.00003145638,0.00001061553,0.000005103496,0.00008259268,0.00855501,0.001626977,0.002057112,0.9863716,0.0001593891],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02327109,0.0001610154,0.4746125,0.0008294783,0.0003468678,0.0007891983,0.0002484395,0.004782629,0.4949587],"genre_scores_gemma":[0.9929237,0.00002345968,0.002062466,0.0004612227,0.0002547351,1.557195e-7,0.0005257527,0.001320303,0.002428145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9696527,"threshold_uncertainty_score":0.9969884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399665323551424,"score_gpt":0.2361852655346008,"score_spread":0.2121886122990865,"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."}}