{"id":"W1549707627","doi":"10.1007/978-3-642-13273-5_1","title":"Towards Autonomic Specification of Distributed MARF with ASSL: Self-healing","year":2010,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002054364,0.000210735,0.0003366773,0.00007641328,0.00004245058,0.000007952261,0.0001923164,0.0002063741,0.00003762577],"category_scores_gemma":[0.00007191029,0.0001850557,0.0001140483,0.0000529092,0.0002775188,0.000002264653,0.0001206388,0.0002054695,0.000006230739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007085483,"about_ca_system_score_gemma":0.00009685414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009789826,"about_ca_topic_score_gemma":0.00005411744,"domain_scores_codex":[0.9988022,0.00001003421,0.0004728271,0.0003826891,0.0002022325,0.00013],"domain_scores_gemma":[0.9990227,0.0001089123,0.0002890623,0.000199301,0.0003448292,0.00003517201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001824883,0.001532772,0.005598993,0.002480669,0.01538799,0.0001101754,0.00228813,0.2638442,0.1032123,0.3924882,0.002935834,0.2082959],"study_design_scores_gemma":[0.0008654324,0.0009987343,0.003388154,0.002108326,0.0009653801,0.0000690149,0.001083412,0.01213805,0.582352,0.2012719,0.1910378,0.003721836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06854593,0.01996774,0.7650301,0.001423302,0.001137915,0.001615612,0.001276243,0.0001329165,0.1408702],"genre_scores_gemma":[0.9668131,0.002094579,0.02749796,0.00005353841,0.0003065956,0.00001368116,0.0008288886,0.00004015971,0.00235148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8982672,"threshold_uncertainty_score":0.7546353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0386925390299877,"score_gpt":0.3105023795106436,"score_spread":0.2718098404806559,"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."}}