{"id":"W2574291663","doi":"10.1007/978-3-319-52234-0_28","title":"IC3 - Flipping the E in ICE","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Invariant (physics); Extension (predicate logic); Key (lock); Model checking; Theoretical computer science; Focus (optics); Algorithm; Artificial intelligence; Programming language; Mathematics","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.003087747,0.0004165983,0.000408492,0.0006285334,0.0005155932,0.0009948926,0.008761573,0.0002965315,0.000009856589],"category_scores_gemma":[0.0004779585,0.0003170541,0.00009962716,0.000370112,0.001021952,0.001117029,0.001985392,0.001201863,0.00006394106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003402596,"about_ca_system_score_gemma":0.0004667525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006208447,"about_ca_topic_score_gemma":0.0002040642,"domain_scores_codex":[0.9965149,0.00008750007,0.0005196319,0.001310312,0.0009241636,0.0006435574],"domain_scores_gemma":[0.9955535,0.0005312556,0.0004587579,0.003204751,0.0001590585,0.00009270422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003010355,0.0000118519,0.0000588648,0.00002282567,0.000003779705,0.00003815542,0.00113578,0.01055834,0.00007814581,0.099452,0.00001202801,0.8886252],"study_design_scores_gemma":[0.0001993589,0.00007621013,0.001503091,0.0005345615,0.000004272988,0.00007869255,2.36886e-7,0.7615903,0.001074255,0.2263607,0.007944506,0.0006338232],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00004513311,0.0003779266,0.9815868,0.001207312,0.002849699,0.0004054088,0.000001318291,0.00009522704,0.01343116],"genre_scores_gemma":[0.042622,0.0000734589,0.9544427,0.001572023,0.0005532107,0.00002015085,0.000001485645,0.00003122842,0.0006837674],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8879914,"threshold_uncertainty_score":0.9999282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04088450634873628,"score_gpt":0.3010576536049343,"score_spread":0.260173147256198,"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."}}