{"id":"W2966464227","doi":"10.48550/arxiv.1908.00089","title":"A Model of Random Industrial SAT","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation","keywords":"Satisfiability; Disjoint sets; Generalization; Set (abstract data type); Focus (optics); Boolean satisfiability problem; Mathematics; Computer science; Discrete mathematics; Algorithm; Combinatorics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001627285,0.0006879938,0.001024214,0.001187116,0.001071207,0.002320722,0.003069181,0.00276778,0.01342205],"category_scores_gemma":[0.00804705,0.0004875696,0.001266805,0.001624334,0.002122709,0.003776832,0.00237234,0.002427474,0.001205939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002006533,"about_ca_system_score_gemma":0.001153343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003963012,"about_ca_topic_score_gemma":0.003604059,"domain_scores_codex":[0.997627,0.0008012744,0.00009801024,0.0006088958,0.000518178,0.0003466821],"domain_scores_gemma":[0.9949451,0.002900179,0.0005428701,0.000672582,0.000459949,0.0004793335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009570766,0.00006732385,0.0007077425,0.00008758172,0.00003475865,0.0002393754,0.0001943104,0.06099108,0.001195742,0.9279739,0.004036237,0.004376185],"study_design_scores_gemma":[0.0001025699,0.00005442605,0.0004097981,0.00001943725,0.0000200541,0.0002221107,0.00006916675,0.487848,0.000432184,0.5059644,0.004837029,0.00002079079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1739721,0.0009881498,0.7237665,0.006590163,0.0001713128,0.0003182216,0.002420256,0.001120912,0.09065243],"genre_scores_gemma":[0.9020339,0.0005132893,0.06739002,0.001097672,0.0002175331,0.0004343699,0.001688144,0.0001743042,0.02645084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01342205,"threshold_uncertainty_score":0.04490119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1335920945488172,"score_gpt":0.1843312370561455,"score_spread":0.05073914250732836,"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."}}