{"id":"W4402977997","doi":"10.1145/3640310.3674085","title":"Toward Intelligent Generation of Tailored Graphical Concrete Syntax","year":2024,"lang":"en","type":"article","venue":"","topic":"BIM and Construction Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure; Université de Montréal","funders":"","keywords":"Computer science; Syntax; Programming language; Human–computer interaction; Natural language 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":[],"consensus_categories":[],"category_scores_codex":[0.005929729,0.001316476,0.0008055142,0.001891553,0.0008583607,0.003944985,0.002466732,0.001768118,0.004623535],"category_scores_gemma":[0.01619192,0.001199888,0.001786598,0.001225231,0.002354951,0.005405267,0.005585312,0.002959466,0.002519254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040755,"about_ca_system_score_gemma":0.002887896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001865301,"about_ca_topic_score_gemma":0.003503464,"domain_scores_codex":[0.9961604,0.001510811,0.0002802575,0.0005097403,0.001364646,0.0001741204],"domain_scores_gemma":[0.993225,0.002759374,0.000360123,0.002145711,0.001336393,0.0001732841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001950304,0.0003206319,0.002710999,0.001011495,0.0001296979,0.0007674593,0.006055669,0.08929782,0.0356651,0.4755827,0.02320128,0.3650621],"study_design_scores_gemma":[0.00008230624,0.000108964,0.0004247825,0.0003480339,0.0001109974,0.0005398674,0.0009384974,0.5821396,0.03776737,0.2347486,0.1426455,0.0001455174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003632406,0.00007305891,0.9889954,0.0002910785,0.00003253979,0.0001110833,0.0001711287,0.004672785,0.002020432],"genre_scores_gemma":[0.04298744,0.0001884548,0.952334,0.0001695875,0.00001405513,0.0001616579,0.0009667131,0.001739817,0.001438249],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005929729,"threshold_uncertainty_score":0.03135973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747677872600861,"score_gpt":0.2280989242891074,"score_spread":0.2006221455630988,"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."}}