{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003176424,0.00008283187,0.0001023321,0.00005502857,0.00005023021,0.00001371974,0.00008569448,0.0000375633,0.000005027073],"category_scores_gemma":[3.940619e-7,0.00009063493,0.00003142652,0.00006413322,0.00001863372,0.0000447305,0.00001912155,0.00004926517,0.00000539094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004018592,"about_ca_system_score_gemma":0.000005222593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.564788e-7,"about_ca_topic_score_gemma":1.299818e-7,"domain_scores_codex":[0.9995328,0.000002288504,0.0001714945,0.0001228147,0.00004118331,0.0001294004],"domain_scores_gemma":[0.999748,0.00003695963,0.00002672027,0.0001211205,0.00003416362,0.00003303317],"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":[8.402025e-7,0.00002689236,0.000004691763,0.00002073087,0.00001641518,5.105149e-8,0.0001226268,0.8008973,0.001104084,0.0009113044,0.0002316999,0.1966634],"study_design_scores_gemma":[0.0001987417,0.000009396162,0.00001979522,0.00001114615,0.00001141837,0.000001679337,0.0000162032,0.8272564,0.04778939,0.000205845,0.1243757,0.0001043084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006125526,0.0002150791,0.9983448,0.00002701498,0.00001037573,0.0002919686,0.00001547034,0.0001515656,0.0003312192],"genre_scores_gemma":[0.1010121,0.000005757158,0.8984917,0.00002277747,0.0001686848,0.0002135454,0.00004070566,0.00001740703,0.00002724101],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1965591,"threshold_uncertainty_score":0.3695985,"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."}}