{"id":"W4382776149","doi":"10.1080/0951192x.2023.2228254","title":"Α Behavior Trees-based architecture towards operation planning in hybrid manufacturing","year":2023,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Canadian Institute for Advanced Research","keywords":"Architecture; Computer science; Engineering; Systems engineering; Manufacturing engineering; Distributed computing; Process management; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005907614,0.0004494847,0.0003042018,0.0005927148,0.0003755316,0.001132593,0.001002162,0.0005578665,0.002015523],"category_scores_gemma":[0.0009813504,0.0003569552,0.0007450748,0.0007338567,0.0007385711,0.001033105,0.0008769367,0.0007901072,0.0004108268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093946,"about_ca_system_score_gemma":0.001248155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007723056,"about_ca_topic_score_gemma":0.007156267,"domain_scores_codex":[0.9995984,0.0001394885,0.00002556689,0.00007443049,0.0001090425,0.00005305233],"domain_scores_gemma":[0.9996922,0.0001403187,0.00003889789,0.00003604473,0.00006305556,0.00002960441],"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":[0.00006565747,0.00005689956,0.0008413382,0.0001036288,0.00005011715,0.0001567695,0.0002176526,0.8386995,0.005280329,0.08468463,0.0009517536,0.06889167],"study_design_scores_gemma":[0.00000464785,0.00002766897,0.000139605,0.00001431753,0.00001197973,0.00002124989,0.00002995455,0.9618855,0.0009290294,0.03406033,0.002870042,0.000005699479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01409167,0.00019813,0.9820662,0.0001178297,0.00001488041,0.00005189689,0.00006173149,0.0004177661,0.002979864],"genre_scores_gemma":[0.483052,0.0005092845,0.5122234,0.0000978676,0.0000219951,0.0002305639,0.0002937505,0.000118774,0.003452359],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007723056,"threshold_uncertainty_score":0.01535624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510721560013892,"score_gpt":0.2607902484653669,"score_spread":0.245683032865228,"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."}}