{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005112757,0.0004819599,0.0002487926,0.001447683,0.0008768055,0.002716803,0.001013617,0.000604548,0.3096256],"category_scores_gemma":[0.001216877,0.0002802583,0.0003517559,0.001393699,0.0009648895,0.002578417,0.0030795,0.001278718,0.08906565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154384,"about_ca_system_score_gemma":0.001429091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00944967,"about_ca_topic_score_gemma":0.0163421,"domain_scores_codex":[0.9996632,0.00004488225,0.00002228016,0.00008399386,0.0001227091,0.00006292326],"domain_scores_gemma":[0.9994379,0.0001006933,0.0000296274,0.0001425575,0.0001215093,0.0001676476],"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":[0.0002029309,0.00009194097,0.002079515,0.0002615201,0.000006644942,0.0003561902,0.001096276,0.0004654623,0.000976667,0.06585149,0.5333508,0.3952607],"study_design_scores_gemma":[0.000008150232,0.000009434026,0.0005820131,0.00007546289,0.000001429688,0.0001214205,0.0001233371,0.00009252566,0.000157077,0.002010355,0.9968126,0.000006195913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007202697,0.0007853371,0.007018791,0.001694756,0.0009623307,0.00008622925,0.00755818,0.008015933,0.9666757],"genre_scores_gemma":[0.08492377,0.0025926,0.02068301,0.002332576,0.0003868103,0.0002089597,0.01120951,0.006573208,0.8710895],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3096256,"threshold_uncertainty_score":0.9847354,"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."}}