{"id":"W4253119387","doi":"10.1007/978-1-4939-7131-2_100428","title":"Graph Matching","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Matching (statistics); Mathematics; Statistics","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":[0.000188092,0.0002127163,0.0001801979,0.0001645075,0.0001063174,0.0001267615,0.001029361,0.0001537032,0.001439607],"category_scores_gemma":[0.000001578641,0.0001768841,0.0001637872,0.00003359904,0.0000820955,0.0001930601,0.0002993498,0.0001969155,0.001823535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007728477,"about_ca_system_score_gemma":0.00002120785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000213469,"about_ca_topic_score_gemma":0.000002279262,"domain_scores_codex":[0.9990529,0.000009145299,0.0001614477,0.000397977,0.0001989783,0.0001795359],"domain_scores_gemma":[0.9990771,0.00003800734,0.00007998561,0.0006791179,0.00004838489,0.00007734949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[4.529367e-7,0.000002469058,7.048677e-8,0.000004422739,0.00001830935,0.00001517613,0.0001283498,5.092453e-7,0.000003949463,0.9882655,0.002857018,0.00870376],"study_design_scores_gemma":[0.00004171172,0.00003155183,8.659191e-7,0.0000385328,0.000004776686,0.00001817081,0.000002303123,0.00006520897,0.00004335285,0.9200788,0.07944868,0.0002260275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003288174,0.00005495284,0.4132763,0.00006055565,0.0004672859,0.00004179689,0.000001496707,0.0001888376,0.5859054],"genre_scores_gemma":[0.0002334827,0.00002344727,0.04435775,0.0006271282,0.0002465427,0.00000172544,0.000002942592,0.00002088764,0.9544861],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3689186,"threshold_uncertainty_score":0.9994732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403762831140096,"score_gpt":0.2138935551456571,"score_spread":0.1998559268342562,"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."}}