{"id":"W3122401951","doi":"10.20944/preprints201709.0055.v1","title":"Introduction to Reconfiguration","year":2017,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Process Optimization and Integration","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control reconfiguration; Sequence (biology); Graph; Computer science; Space (punctuation); Theoretical computer science; Topology (electrical circuits); Mathematics; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001186254,0.002267071,0.001402818,0.002091174,0.001207273,0.004472308,0.002257432,0.003215215,0.02970192],"category_scores_gemma":[0.004006992,0.0009565677,0.002155954,0.004667114,0.004408434,0.006101181,0.002572627,0.005984773,0.01212539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002201434,"about_ca_system_score_gemma":0.001334866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001639493,"about_ca_topic_score_gemma":0.00112257,"domain_scores_codex":[0.9973909,0.0004610353,0.0002288535,0.0009214382,0.0007758259,0.0002219927],"domain_scores_gemma":[0.997533,0.001414948,0.0001491499,0.0004581316,0.0003189205,0.0001258969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004392316,0.00003648369,0.0002584101,0.001062191,0.00003949589,0.000190068,0.0002805042,0.006405188,0.001071098,0.8083817,0.05012951,0.1321014],"study_design_scores_gemma":[0.000009338796,0.00003752557,0.000201951,0.000361677,0.00001801837,0.0004519469,0.00005866553,0.003056135,0.0003937816,0.4111533,0.5842329,0.00002473307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002833946,0.1327126,0.5639578,0.01086157,0.007893915,0.0002549243,0.001548998,0.002112535,0.2778238],"genre_scores_gemma":[0.1462826,0.2458199,0.4019943,0.01665721,0.02593857,0.001209025,0.003472502,0.002271732,0.1563543],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02970192,"threshold_uncertainty_score":0.09936279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07780052751492263,"score_gpt":0.3194496127273931,"score_spread":0.2416490852124705,"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."}}