{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009655134,0.0009221112,0.0005244926,0.003623651,0.002776155,0.004653513,0.0006491554,0.001267483,0.7726983],"category_scores_gemma":[0.001991031,0.0003825062,0.0004937186,0.003321836,0.001018454,0.001940147,0.003527077,0.001362456,0.663082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00226328,"about_ca_system_score_gemma":0.001977019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008026966,"about_ca_topic_score_gemma":0.01134781,"domain_scores_codex":[0.9991146,0.0001760677,0.00005190836,0.0001532929,0.0003260666,0.0001780482],"domain_scores_gemma":[0.9993683,0.0001006152,0.00002869596,0.0001385412,0.0002249183,0.0001389889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007493478,0.00007181941,0.001104099,0.0002583866,0.000007854517,0.0001665746,0.000381159,0.00003996914,0.0006072361,0.03316902,0.8012633,0.1628557],"study_design_scores_gemma":[0.000003683685,0.000005848171,0.001146302,0.00007761489,0.000002292263,0.00009920963,0.0001198705,0.00001390614,0.0001109594,0.0008987498,0.9975175,0.00000419083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009100385,0.0010081,0.0003068779,0.001356186,0.0008024241,0.00005279066,0.003044526,0.0003274989,0.9921916],"genre_scores_gemma":[0.004900048,0.00104783,0.0003061631,0.00050959,0.0002348605,0.00007169394,0.00188153,0.0002697662,0.9907787],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7726983,"threshold_uncertainty_score":0.3242183,"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."}}