{"id":"W4403877073","doi":"10.1007/s41693-024-00143-9","title":"Digital technologies and robotics in mass-timber manufacturing: a systematic literature review on construction 4.0/5.0","year":2024,"lang":"en","type":"article","venue":"Construction Robotics","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robotics; Artificial intelligence; Manufacturing engineering; Engineering; Computer science; Robot","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006600687,0.0007449591,0.002127852,0.01567871,0.0006082898,0.002265864,0.00111368,0.001352858,0.004922008],"category_scores_gemma":[0.01995786,0.0005251555,0.002940909,0.01488116,0.001143057,0.002581987,0.001640551,0.0009177685,0.0005533554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00202165,"about_ca_system_score_gemma":0.01201655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006968575,"about_ca_topic_score_gemma":0.02624316,"domain_scores_codex":[0.9960829,0.001233723,0.001277391,0.0003365723,0.0009087796,0.0001606648],"domain_scores_gemma":[0.9692295,0.0247502,0.002773768,0.0004514571,0.002503617,0.0002913571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001260496,0.00005550201,0.003116955,0.7240009,0.00154771,0.0002814923,0.001085636,0.0002827821,0.0005668747,0.00276011,0.00478099,0.2613951],"study_design_scores_gemma":[0.00005019886,0.0001719692,0.01201394,0.8572978,0.009096497,0.0007899808,0.001932883,0.0001417353,0.0004218588,0.001355334,0.1166727,0.00005511059],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002190027,0.9952989,0.0003582505,0.0003962717,0.00007267712,0.0001128465,0.0004402467,0.000006828338,0.001124061],"genre_scores_gemma":[0.01585955,0.9816862,0.001319447,0.0004650414,0.00004712338,0.0001668268,0.0002880181,0.000005508522,0.0001621992],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01567871,"threshold_uncertainty_score":0.03490824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008276839202646403,"score_gpt":0.2196048386750344,"score_spread":0.211327999472388,"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."}}