{"id":"W2378404685","doi":"","title":"A Analytical Algorithm of 3D Packing For Experiment Schedule Planning","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Octree; Schedule; Scheduling (production processes); Redundancy (engineering); Algorithm; Mathematical optimization; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007434594,0.001257143,0.001083309,0.001513219,0.001295837,0.001404109,0.001792647,0.0009427938,0.008947844],"category_scores_gemma":[0.00218962,0.0009349755,0.001187282,0.002395578,0.0005602201,0.001593943,0.001208376,0.0009195454,0.002112937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002151175,"about_ca_system_score_gemma":0.003086342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01267782,"about_ca_topic_score_gemma":0.008500585,"domain_scores_codex":[0.9993082,0.0001394093,0.000039444,0.0001509568,0.0002715799,0.00009038703],"domain_scores_gemma":[0.9993852,0.0002342264,0.00006092321,0.00008999,0.000193203,0.00003644812],"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":[0.0001220315,0.00007508849,0.0005765957,0.0001458652,0.00003685146,0.00009064565,0.0001937708,0.6562359,0.003187456,0.03180183,0.009329478,0.2982045],"study_design_scores_gemma":[0.00001720401,0.00002161283,0.00008012103,0.000008446586,0.000007941035,0.00003311618,0.00001835415,0.9874805,0.0008895721,0.00820723,0.003225066,0.00001080837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001488853,0.00005747734,0.996271,0.00004871977,0.00002415615,0.00004062277,0.00004096802,0.0005098365,0.001518303],"genre_scores_gemma":[0.05543069,0.0001732017,0.9413773,0.0000556431,0.00002438104,0.0003309005,0.0002671213,0.0001593894,0.002181387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01267782,"threshold_uncertainty_score":0.02993351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488057603725281,"score_gpt":0.2743755218855619,"score_spread":0.2594949458483091,"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."}}