{"id":"W4416523535","doi":"10.1016/j.autcon.2025.106669","title":"Assembly sequence planning method for robotic timber wall prefabrication","year":2025,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Prefabrication; Component (thermodynamics); Robot; Key (lock); Sequence (biology); Representation (politics); Relation (database); Framing (construction)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003435461,0.0001266947,0.0001688715,0.0004312074,0.0001002609,0.00007624381,0.00008905931,0.0001332098,0.00003293575],"category_scores_gemma":[0.00008527903,0.0001506222,0.00003482047,0.0006270294,0.00003457949,0.000367099,0.00001057732,0.00009103261,0.00001166765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002086842,"about_ca_system_score_gemma":0.00005878568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001310676,"about_ca_topic_score_gemma":0.000002588281,"domain_scores_codex":[0.9990118,0.00005019762,0.0004897522,0.000192608,0.00009014765,0.0001654848],"domain_scores_gemma":[0.9994224,0.0001455285,0.00008895463,0.0001792432,0.0001490587,0.00001476467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002260385,0.000009497669,0.003584445,0.000365082,0.00008602944,7.35906e-7,0.000282473,0.5778987,0.09867361,0.1608036,0.001913823,0.1563593],"study_design_scores_gemma":[0.0004639786,0.000009714346,0.003271436,0.0001355107,0.00002604928,0.00002568946,0.0001384636,0.9561728,0.02566589,0.01137719,0.0025259,0.0001873317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1080062,0.00003449598,0.8846855,0.0002078865,0.001711021,0.0004123191,0.000004367227,0.0004947215,0.004443427],"genre_scores_gemma":[0.7237198,0.00000827203,0.2756057,0.0001039503,0.00006814431,0.000283935,0.00006657973,0.00001629322,0.0001272721],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6157135,"threshold_uncertainty_score":0.6142195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02271726595011787,"score_gpt":0.3204242817332709,"score_spread":0.297707015783153,"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."}}