{"id":"W2277720656","doi":"10.1075/dia.32.3.04pel","title":"Reconstructing phylogeny from linkage diffusion","year":2015,"lang":"en","type":"article","venue":"Diachronica","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Diversification (marketing strategy); Linkage (software); Argument (complex analysis); Cladistics; Genealogy; Language change; Phylogenetics; Evolutionary biology; Linguistics; History; Biology; Philosophy; Genetics","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":[0.004532143,0.0005491292,0.0007384623,0.006794152,0.001482804,0.003486774,0.001341611,0.001589932,0.004520705],"category_scores_gemma":[0.02432686,0.0006105056,0.0008001007,0.004965248,0.002459098,0.005364647,0.003059918,0.001915234,0.0009375397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001846963,"about_ca_system_score_gemma":0.000817789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003753915,"about_ca_topic_score_gemma":0.003265499,"domain_scores_codex":[0.9981828,0.001045823,0.00006378846,0.0004666163,0.0001349284,0.0001061028],"domain_scores_gemma":[0.9930245,0.004736503,0.0007275941,0.0009204891,0.0003632787,0.0002276813],"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":[0.0003676689,0.0000821923,0.1881899,0.0007834218,0.0005123909,0.001490908,0.01497436,0.1381357,0.008978301,0.4030423,0.004337587,0.2391052],"study_design_scores_gemma":[0.00003644753,0.0000756829,0.0478802,0.0002244252,0.0001412755,0.0008695672,0.003392915,0.2584637,0.001205006,0.6655772,0.02202209,0.0001113779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5372494,0.002520174,0.4410713,0.001829456,0.00007453478,0.00008171505,0.001218593,0.0007108087,0.01524393],"genre_scores_gemma":[0.9343076,0.001258846,0.06188056,0.00008708171,0.00004676821,0.00006540232,0.0008723458,0.0001751118,0.001306232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006794152,"threshold_uncertainty_score":0.02396858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05766282385320226,"score_gpt":0.3267083004793336,"score_spread":0.2690454766261314,"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."}}