{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001941696,0.002172812,0.00112294,0.001627782,0.001010074,0.003402223,0.003289984,0.001437679,0.111584],"category_scores_gemma":[0.01279092,0.00119153,0.002541004,0.002312737,0.001132355,0.002706304,0.003811768,0.004035428,0.08367432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131585,"about_ca_system_score_gemma":0.001680663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00217611,"about_ca_topic_score_gemma":0.001752647,"domain_scores_codex":[0.9969169,0.0004710658,0.0002858036,0.000539501,0.001542518,0.0002441886],"domain_scores_gemma":[0.9922545,0.00133366,0.0003336528,0.004058783,0.001812459,0.0002068623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003634279,0.0001359801,0.0006493481,0.0005328693,0.00009083627,0.0003500483,0.0001661356,0.006030293,0.01064698,0.03846129,0.7755411,0.1670316],"study_design_scores_gemma":[0.0001220049,0.00009188104,0.00101777,0.0001584771,0.00005251095,0.0008353408,0.00007887218,0.04443844,0.0425612,0.04823563,0.8623068,0.0001012451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003357488,0.0002621508,0.7894283,0.001808189,0.003717614,0.0003412425,0.01457027,0.1485361,0.03797875],"genre_scores_gemma":[0.04103553,0.0006518263,0.7013326,0.00352633,0.0009783388,0.001008201,0.0390516,0.1347694,0.07764611],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.111584,"threshold_uncertainty_score":0.3732858,"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."}}