{"id":"W4230219052","doi":"10.1007/978-3-642-38986-3","title":"Reversible Computation","year":2013,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of New Brunswick","funders":"","keywords":"Computer science","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":[0.000171637,0.0006512083,0.0005345262,0.0008445563,0.0008629029,0.001713087,0.000805566,0.0005385092,0.05374759],"category_scores_gemma":[0.0007036552,0.0003607465,0.0005505781,0.001165678,0.00162265,0.002250959,0.001046564,0.001482951,0.01343306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122605,"about_ca_system_score_gemma":0.0008483746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006382646,"about_ca_topic_score_gemma":0.0009783328,"domain_scores_codex":[0.9997594,0.00003141642,0.000008465896,0.00005453219,0.0001188202,0.0000274055],"domain_scores_gemma":[0.9998506,0.00004379802,0.000008112815,0.00005959622,0.00002698987,0.00001089479],"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":[0.0000157071,0.00001113754,0.00002417117,0.0001252921,0.000008466022,0.00002366589,0.00004261807,0.001526823,0.001193466,0.8951984,0.02540696,0.07642331],"study_design_scores_gemma":[0.00001195158,0.00001580963,0.0000790931,0.00006627708,0.00001157232,0.000104668,0.00002236993,0.003212008,0.003332945,0.6765354,0.3165932,0.00001457161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.003620111,0.006742893,0.0733566,0.001138901,0.0009493767,0.00007456029,0.0003816979,0.0007840384,0.9129519],"genre_scores_gemma":[0.200763,0.0155058,0.04238879,0.0008488392,0.001263482,0.0002719375,0.001160059,0.000981521,0.7368166],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05374759,"threshold_uncertainty_score":0.1798036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687900158767748,"score_gpt":0.2490964190831828,"score_spread":0.2322174174955053,"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."}}