{"id":"W4310342042","doi":"10.5281/zenodo.7352874","title":"To Pack or Not to Pack: A Generalized Packing Analysis and Transformation","year":2023,"lang":"en","type":"paratext","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":"Transformation (genetics); Computer science","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005465848,0.0003344989,0.0004562457,0.001406729,0.0009176737,0.001345631,0.0005849105,0.0001978989,0.0213048],"category_scores_gemma":[0.000210793,0.0003406141,0.0001076794,0.003155217,0.00004117457,0.0002042921,0.0003686754,0.0003449715,0.04720053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001893307,"about_ca_system_score_gemma":0.000005439967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002734996,"about_ca_topic_score_gemma":0.000007999196,"domain_scores_codex":[0.9978661,0.0002008289,0.0004882403,0.0005017915,0.0004389196,0.0005041208],"domain_scores_gemma":[0.9986506,0.00003431941,0.00007836667,0.0004642912,0.0003801275,0.0003922774],"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":[0.0001226587,0.00002010752,3.473722e-7,0.0003810788,0.0004920472,0.000006200817,0.00526218,0.1654129,0.001024773,0.0001582477,0.7908747,0.03624476],"study_design_scores_gemma":[0.0004587864,0.0001233808,0.00008743181,0.0001061405,0.0001402388,0.00001264375,0.0001668532,0.01489028,0.000405718,0.000005435487,0.9831425,0.0004606134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01078708,0.0002305039,0.5522614,0.003459712,0.002024406,0.004662634,0.00636137,0.007590055,0.4126228],"genre_scores_gemma":[0.4628391,0.01181128,0.01664251,0.00457567,0.002688749,0.000005527409,0.1025894,0.03182143,0.3670263],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5356189,"threshold_uncertainty_score":0.9999046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04772065284425003,"score_gpt":0.2747092924191494,"score_spread":0.2269886395748994,"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."}}