{"id":"W6894053757","doi":"10.5281/zenodo.7352873","title":"Artifact of \"To Pack or Not to Pack: A Generalized Packing Analysis and Transformation\"","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Artifact (error); Source code; Code (set theory); Scripting language; Container (type theory); Image processing","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004459793,0.0001192541,0.0001970107,0.0007516716,0.0004161622,0.0003011103,0.0002633751,0.00004424691,0.003507104],"category_scores_gemma":[0.0001980422,0.0001168282,0.00005074616,0.002873841,0.00003144788,0.0001614348,0.0001607077,0.00009382308,0.00194406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004454634,"about_ca_system_score_gemma":0.000001913399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009700873,"about_ca_topic_score_gemma":0.000002871079,"domain_scores_codex":[0.9988957,0.00009261754,0.0002913763,0.0002033645,0.0002507406,0.0002661737],"domain_scores_gemma":[0.9992769,0.00002387211,0.00003592172,0.0002478521,0.0002162506,0.0001992127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003576049,0.00007386022,0.00006534691,0.0005161227,0.0007961854,0.00001334789,0.03125874,0.65927,0.0448297,0.002710068,0.08267604,0.177433],"study_design_scores_gemma":[0.001276095,0.0003064775,0.007047518,0.00008715106,0.0001655714,0.00002093319,0.000899551,0.1432852,0.01225712,0.00006467076,0.8340145,0.0005752078],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6739408,0.00003051697,0.2819688,0.002698922,0.0002120891,0.0016268,0.0008043546,0.004742025,0.03397575],"genre_scores_gemma":[0.9966313,0.0001123816,0.001396001,0.0001429282,0.0000304288,1.167313e-7,0.0006367346,0.0005508392,0.0004992443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7513384,"threshold_uncertainty_score":0.9988331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0470236476060789,"score_gpt":0.2675918104721034,"score_spread":0.2205681628660245,"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."}}