{"id":"W2605533127","doi":"","title":"Jillian McPeake: “Look at that face!”","year":2014,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"NOSM University","funders":"","keywords":"Face (sociological concept); Computer science; World Wide Web; Data science; Philosophy; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002034526,0.0005786981,0.0004197051,0.0014098,0.02039979,0.004757721,0.001966348,0.007107346,0.04595065],"category_scores_gemma":[0.0135998,0.0004186518,0.0003430652,0.001692921,0.005642575,0.003375366,0.002734861,0.01130605,0.006883527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02302622,"about_ca_system_score_gemma":0.05246599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.904211,"about_ca_topic_score_gemma":0.9752319,"domain_scores_codex":[0.9983056,0.0003236373,0.00007172908,0.0001803396,0.0006594074,0.0004592899],"domain_scores_gemma":[0.9946689,0.0008625985,0.0001471329,0.00007987983,0.002349062,0.001892369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00000472277,0.000003823449,0.0002401629,0.00002450998,0.000001374175,0.000179395,0.002316765,0.000009807885,0.00004028887,0.002865764,0.9882649,0.006048359],"study_design_scores_gemma":[0.000003922403,0.000002879459,0.001338255,0.0001789674,0.000003893252,0.0002516988,0.01168117,0.00001844752,0.00004911009,0.001109873,0.9853388,0.00002286749],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001315896,0.01351434,0.0004127571,0.9093892,0.02070957,0.00005141381,0.000205355,0.0001211457,0.0542802],"genre_scores_gemma":[0.03401687,0.01649325,0.001476062,0.5968742,0.00749701,0.0001268922,0.0001503598,0.000277308,0.3430882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09578896,"threshold_uncertainty_score":0.1927061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03467977909832098,"score_gpt":0.2046358273471418,"score_spread":0.1699560482488208,"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."}}