{"id":"W4229067867","doi":"10.1016/j.amc.2022.126945","title":"Inner Bohemian inverses","year":2022,"lang":"en","type":"article","venue":"Applied Mathematics and Computation","topic":"Graph theory and applications","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia e Innovación; Western University; Ministerio de Ciencia, Innovación y Universidades","keywords":"Mathematics; Type (biology); Population; Set (abstract data type); Combinatorics; Computer science; Geology; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002816263,0.0001023399,0.0001389249,0.00006958107,0.000428613,0.00003010879,0.0000974334,0.00002327026,0.00008950382],"category_scores_gemma":[0.00001503701,0.0001030994,0.00003047783,0.0002065614,0.00004334831,0.00002898991,0.0001223425,0.0001204571,0.00001094265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001889161,"about_ca_system_score_gemma":0.00001282363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001473697,"about_ca_topic_score_gemma":8.755273e-7,"domain_scores_codex":[0.9993191,0.00001303464,0.0002167838,0.0001615636,0.0001698069,0.0001196697],"domain_scores_gemma":[0.9994101,0.0002515602,0.000125133,0.0001495414,0.00002015147,0.00004352234],"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":[0.000003071525,0.000137046,0.000004096402,0.0000532119,0.00001278178,5.202195e-7,0.001351396,0.0001079634,0.001145294,0.9896446,0.001697505,0.005842513],"study_design_scores_gemma":[0.0002394428,0.00002063344,0.00001945115,0.000003877602,0.00002825577,0.00001381213,0.00183768,0.005500408,0.0003587188,0.9897303,0.002121811,0.000125603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8821495,0.00003110184,0.08788687,0.0003227329,0.00006318014,0.0006082551,0.0000177072,0.000220962,0.02869967],"genre_scores_gemma":[0.9174353,0.000003015714,0.0819686,0.0001633263,0.00001956571,0.000251894,0.00001982094,0.00001989171,0.0001185847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03528578,"threshold_uncertainty_score":0.4204273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03332474932122893,"score_gpt":0.2796691680915832,"score_spread":0.2463444187703542,"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."}}