{"id":"W2802919785","doi":"10.1017/s0305004120000201","title":"Divergence and quasi-isometry classes of random Gromov’s monsters","year":2021,"lang":"en","type":"preprint","venue":"Mathematical Proceedings of the Cambridge Philosophical Society","topic":"Geometric and Algebraic Topology","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Divergence (linguistics); Isometry (Riemannian geometry); Mathematics; Function (biology); Subsequence; Combinatorics; Pure mathematics; Mathematical analysis; Evolutionary biology; Biology; Philosophy","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":[0.0009002605,0.0003620434,0.0006804038,0.002102587,0.001188585,0.002078333,0.0008089885,0.0008202305,0.004326705],"category_scores_gemma":[0.004455176,0.0003706662,0.0008006282,0.0006841365,0.002831893,0.002959155,0.001981494,0.001526479,0.0002754671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001367313,"about_ca_system_score_gemma":0.0004475957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000639433,"about_ca_topic_score_gemma":0.0005779132,"domain_scores_codex":[0.9992529,0.0001481456,0.00004012817,0.0001410043,0.0002205084,0.0001973939],"domain_scores_gemma":[0.9976574,0.0009751588,0.0003618581,0.0002507264,0.000205234,0.0005494813],"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":[0.000053634,0.00004130455,0.001226517,0.00003420746,0.000009528591,0.0001222749,0.0002794466,0.001773463,0.002543667,0.9898447,0.0003363886,0.003734995],"study_design_scores_gemma":[0.00003430041,0.00009453953,0.002737204,0.0000243406,0.00001332529,0.0004642092,0.0002454574,0.02839507,0.002723499,0.9624801,0.002747026,0.00004087545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9438658,0.0002552134,0.04045293,0.0003123632,0.00005085785,0.00003001423,0.0001028288,0.0001325558,0.01479756],"genre_scores_gemma":[0.9887435,0.0001173826,0.005135735,0.00009572323,0.00007741323,0.0000447149,0.0001595181,0.00004612225,0.005579694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004326705,"threshold_uncertainty_score":0.01447427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085687589990207,"score_gpt":0.2813575921899902,"score_spread":0.2405007162900881,"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."}}