{"id":"W4312950274","doi":"10.1609/icaps.v21i1.13439","title":"Preface","year":2011,"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":"University of Toronto","funders":"","keywords":"Library science; Computer science; Operations research; Presentation (obstetrics); Engineering; Medicine","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":[0.001936824,0.0009581412,0.0008857765,0.003669518,0.001970954,0.00555994,0.001508798,0.001384327,0.4611507],"category_scores_gemma":[0.01326108,0.0003108309,0.0006644467,0.002761167,0.0006011534,0.003584783,0.002037019,0.002514732,0.3189597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795217,"about_ca_system_score_gemma":0.002248939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002161067,"about_ca_topic_score_gemma":0.002173571,"domain_scores_codex":[0.9985303,0.0001692359,0.0001199729,0.000205344,0.0008633391,0.0001117588],"domain_scores_gemma":[0.9927367,0.001071707,0.0002637115,0.0006259992,0.00440948,0.0008924538],"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":[0.00002387488,0.00001645817,0.00007729877,0.0001250937,0.000002365455,0.00003374899,0.00006436713,0.00006501951,0.0001343923,0.003100778,0.9464273,0.04992927],"study_design_scores_gemma":[0.000002824375,0.00001120359,0.0001875651,0.000106471,0.000001458633,0.00004042805,0.00005198669,0.00002463956,0.00005779028,0.00132225,0.9981897,0.000003608526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.00135443,0.01635029,0.008233387,0.04293891,0.2245679,0.0008672338,0.0152749,0.002144337,0.6882686],"genre_scores_gemma":[0.006181322,0.01174186,0.004164036,0.00758786,0.04394178,0.0004693599,0.01694225,0.001151599,0.90782],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4611507,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06110902835775434,"score_gpt":0.2727059875151443,"score_spread":0.21159695915739,"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."}}