{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001239611,0.0003277134,0.0003940374,0.0003242444,0.001044388,0.0001563484,0.0003971824,0.00007403968,0.0004968339],"category_scores_gemma":[0.00001020371,0.0003283435,0.000244121,0.0001077745,0.0004721942,0.0002921558,0.00003005838,0.0001966469,0.00416129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008350438,"about_ca_system_score_gemma":0.0001806527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0329144,"about_ca_topic_score_gemma":0.4584166,"domain_scores_codex":[0.9982306,0.0001068862,0.0002204921,0.0004675516,0.0002883767,0.000686035],"domain_scores_gemma":[0.9985307,0.00003621623,0.0001227604,0.0006020789,0.0001161902,0.0005920826],"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":[0.000009808829,0.00004043967,0.0001976499,0.00002803029,0.0001585075,0.00002361229,0.01421369,0.00002699994,0.0006677617,0.04232657,0.9203548,0.02195209],"study_design_scores_gemma":[0.0002045742,0.00005986387,0.0006873755,0.00002219411,0.00006430839,1.464738e-7,0.007257146,0.000127515,0.000182647,0.0007318976,0.9902204,0.0004419444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05017287,0.0007520932,0.0000137388,0.00107,0.0009817547,0.0002006218,0.0001706663,0.0001037465,0.9465345],"genre_scores_gemma":[0.8675746,0.000007912366,0.0000129931,0.05949321,0.001333584,0.00002275675,0.0001069387,0.00006726479,0.07138071],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8751538,"threshold_uncertainty_score":0.9999169,"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."}}