{"id":"W7099339936","doi":"","title":"The Emergence of the Marked: Root-Domain Markedness in Lakhota","year":2004,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Markedness; Obstruent; Consonant; Syllable; Domain (mathematical analysis); Root (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001589222,0.0001268665,0.0002538261,0.001228463,0.00154281,0.001455545,0.0003928608,0.0002653866,0.007242295],"category_scores_gemma":[0.0009684436,0.0002220191,0.00009817295,0.001557441,0.002101112,0.0008456595,0.001488329,0.0006145997,0.000406577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021006,"about_ca_system_score_gemma":0.0008977049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02634933,"about_ca_topic_score_gemma":0.0937074,"domain_scores_codex":[0.999759,0.00002908382,0.00002368958,0.0000753683,0.00003959977,0.00007319011],"domain_scores_gemma":[0.9989755,0.0004204993,0.0002552326,0.0001101523,0.0001416395,0.00009704901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007090569,0.0001515772,0.340684,0.001187396,0.00009989955,0.006000178,0.1913196,0.0007732437,0.1204656,0.1087198,0.002361897,0.2275279],"study_design_scores_gemma":[0.00002059898,0.000137374,0.9144472,0.0000685905,0.00004494235,0.003085676,0.03983496,0.0007736245,0.006393844,0.009199042,0.02589914,0.00009484816],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787329,0.0001614638,0.0007677704,0.0001325105,0.000008620921,0.000011709,0.0001933044,0.00001468131,0.01997709],"genre_scores_gemma":[0.9983343,0.0000420145,0.0003309011,0.00002899594,0.00000306735,0.000005752795,0.0000691185,0.0000120403,0.0011738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02634933,"threshold_uncertainty_score":0.05239195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538115334217858,"score_gpt":0.2964384752456408,"score_spread":0.2810573219034622,"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."}}