{"id":"W2337419007","doi":"10.1017/mag.2015.99","title":"99.37 Anthropologic","year":2015,"lang":"en","type":"article","venue":"The Mathematical Gazette","topic":"European Linguistics and Anthropology","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Information retrieval; Database","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001356755,0.00008281695,0.0001455555,0.0000137126,0.0004052915,0.00005645313,0.0003899366,0.00005137234,0.001373652],"category_scores_gemma":[0.00233434,0.00004877535,0.00004874865,0.0001250052,0.002202956,0.00002434968,0.0000928094,0.0001402267,0.002243075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002887018,"about_ca_system_score_gemma":0.00006516619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001087659,"about_ca_topic_score_gemma":0.00003011461,"domain_scores_codex":[0.9988093,0.000290253,0.0001713798,0.0001263895,0.0002831011,0.0003196253],"domain_scores_gemma":[0.9991728,0.0002938182,0.00005322598,0.0002374601,0.00008565905,0.0001570295],"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":[0.000003282866,0.00004325861,0.00002925127,0.000003812555,0.000006412652,0.00001599656,0.005609702,0.000001314173,0.000007325661,0.970665,0.02320223,0.0004124103],"study_design_scores_gemma":[0.0001568083,0.0000653774,0.00002942766,0.0000132297,0.00002189923,0.000007772272,0.01148671,0.0001779333,0.00003411505,0.6477089,0.3401684,0.0001294567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02109536,0.0002100974,0.002934633,0.02799637,0.0006727214,0.0001696285,0.000002342691,0.0001566464,0.9467622],"genre_scores_gemma":[0.989642,0.00006886164,0.00159387,0.00122635,0.0009696037,0.000004647907,7.539971e-7,0.00001521685,0.006478731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9685466,"threshold_uncertainty_score":0.9995393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1122172499172388,"score_gpt":0.3874311511120537,"score_spread":0.2752139011948149,"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."}}