{"id":"W4313193649","doi":"10.1609/icaps.v20i1.13398","title":"Preface","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Automated Planning and Scheduling","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Operations research; Computer science; Scheduling (production processes); Automated planning and scheduling; Engineering; Artificial intelligence; Operations management","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":[],"consensus_categories":[],"category_scores_codex":[0.001915157,0.0009473166,0.0009233913,0.003815337,0.00200593,0.005897257,0.001601304,0.001338294,0.4563031],"category_scores_gemma":[0.01397607,0.0003125288,0.0006424265,0.003002739,0.0006156171,0.003778555,0.002101023,0.002576061,0.3227144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001892353,"about_ca_system_score_gemma":0.002347378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002458053,"about_ca_topic_score_gemma":0.002368769,"domain_scores_codex":[0.9985172,0.0001693013,0.0001171878,0.000214127,0.000873811,0.0001083136],"domain_scores_gemma":[0.9923993,0.001198082,0.0002616724,0.0006533178,0.004565943,0.0009217651],"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":[0.00001963892,0.00001396361,0.00007492061,0.0001067549,0.000002107697,0.00002755857,0.00005954701,0.00006127533,0.0001077299,0.002844372,0.9531173,0.04356489],"study_design_scores_gemma":[0.000002547978,0.00001007597,0.0001835851,0.0001047481,0.000001423681,0.00003672339,0.00005173635,0.00002483801,0.00005043648,0.001212365,0.9983178,0.000003633068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001235855,0.01551702,0.007347102,0.04195236,0.2542464,0.000727676,0.01623861,0.002239657,0.6604953],"genre_scores_gemma":[0.006337216,0.01191033,0.003749279,0.007912192,0.05242668,0.000449136,0.01846703,0.001320328,0.8974279],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4563031,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03375275844167994,"score_gpt":0.2810386256738298,"score_spread":0.2472858672321498,"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."}}