{"id":"W2549157564","doi":"10.20382/jocg.v7i1a18","title":"Recognizing shrinkable complexes is NP-complete","year":2016,"lang":"en","type":"article","venue":"Journal of Computational Geometry (Carleton University)","topic":"Topological and Geometric Data Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche; Institut national de recherche en informatique et en automatique (INRIA); McGill University","keywords":"Chemistry; Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":[0.00042961,0.0001721647,0.0003971097,0.002121356,0.0001969631,0.0001144333,0.001468324,0.00007531334,0.0004834735],"category_scores_gemma":[0.0001584928,0.0001238523,0.0003223854,0.003523265,0.0001141296,0.001378648,0.0003789024,0.0001731597,0.0001204624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451555,"about_ca_system_score_gemma":0.0001229874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001789532,"about_ca_topic_score_gemma":0.000001458049,"domain_scores_codex":[0.9981108,0.0001218089,0.0004458329,0.0003113855,0.0007051873,0.0003049429],"domain_scores_gemma":[0.9974455,0.0008008879,0.0005530837,0.000257466,0.0006973642,0.0002457054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003311448,0.00103514,0.03101326,0.00006490395,0.002179238,0.00186904,0.000487047,0.0183214,0.004242378,0.4325026,0.06987976,0.4380741],"study_design_scores_gemma":[0.00385576,0.0008733282,0.03205649,0.0001416401,0.0001796821,0.0006060889,0.000196231,0.004840392,0.0008399168,0.08158232,0.8739779,0.0008502179],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07297307,0.0001497147,0.9186373,0.005112812,0.0002844592,0.00004596666,0.00004936691,0.00004734339,0.002699936],"genre_scores_gemma":[0.9082983,0.0001547921,0.08705192,0.001098388,0.0001952554,1.042494e-7,0.000006188572,0.000009546499,0.003185576],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8353252,"threshold_uncertainty_score":0.5293696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363857069236365,"score_gpt":0.2185945684865865,"score_spread":0.1949559977942228,"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."}}