{"id":"W4393710868","doi":"10.5281/zenodo.4310317","title":"A SAT-based Resolution of Lam's Problem (SAT instances and certificates)","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Resolution (logic); Computer science; Mathematics; Combinatorics; Programming language","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":[0.002067163,0.00214985,0.0009866073,0.003060916,0.0008834574,0.002171182,0.003966297,0.00245162,0.06697764],"category_scores_gemma":[0.01160185,0.0008476591,0.001884237,0.005665528,0.0005490907,0.001676626,0.001833528,0.002773362,0.06642575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002178419,"about_ca_system_score_gemma":0.002725496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01524654,"about_ca_topic_score_gemma":0.03121919,"domain_scores_codex":[0.9981017,0.0004690585,0.00019182,0.0005746013,0.000474317,0.0001887034],"domain_scores_gemma":[0.9960508,0.001638758,0.0002599955,0.00122363,0.0006513833,0.0001754676],"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":[0.0001553247,0.00008301588,0.001525531,0.001173355,0.00005143716,0.00004605642,0.00003939681,0.003918427,0.0001961572,0.002936706,0.9775938,0.01228095],"study_design_scores_gemma":[0.000914772,0.0001072953,0.005977146,0.0004798078,0.00007172863,0.0001591982,0.0001823741,0.0186559,0.00202989,0.01562447,0.9557231,0.00007419195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009579874,0.0001750097,0.001534572,0.0002237979,0.00005324297,0.00007187393,0.9900337,0.003780668,0.003169133],"genre_scores_gemma":[0.002054358,0.00008320165,0.003389844,0.00008625742,0.000007309498,0.0002208605,0.9930558,0.0001726659,0.0009297054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06697764,"threshold_uncertainty_score":0.2240625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3593517043645712,"score_gpt":0.4224739414125167,"score_spread":0.0631222370479455,"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."}}