{"id":"W2014151065","doi":"10.1503/cmaj.131681","title":"How blood reveals us, divides us and unites us","year":2014,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Interdisciplinary Cultural and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Tray; Computer science; Foot (prosody); Medicine; Art; Engineering; Literature; Mechanical engineering","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":[0.001569038,0.0004595056,0.0003525215,0.0008800153,0.002953218,0.006906209,0.0006099734,0.002244088,0.02561387],"category_scores_gemma":[0.004048041,0.0005155772,0.0002575574,0.001015299,0.005570836,0.005174916,0.00167125,0.004331568,0.01092929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907193,"about_ca_system_score_gemma":0.004749252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01907745,"about_ca_topic_score_gemma":0.05672939,"domain_scores_codex":[0.9988048,0.0004655678,0.0000597592,0.00008726846,0.0004524944,0.0001300889],"domain_scores_gemma":[0.9988993,0.0002944744,0.0000775187,0.00008831899,0.000338334,0.0003020384],"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":[0.00001822256,0.00001401884,0.0004230397,0.0001346854,0.000008328771,0.00007943917,0.001874907,0.00001741315,0.0001897557,0.01528805,0.8610856,0.1208666],"study_design_scores_gemma":[0.000001564747,0.000007208243,0.000768438,0.0003337039,0.000004668065,0.0002244828,0.002117232,0.000009528902,0.00008690387,0.006188798,0.9902508,0.000006579637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001910433,0.4796676,0.002132744,0.2916088,0.01683893,0.0000211799,0.0002670041,0.0004030861,0.2071501],"genre_scores_gemma":[0.05762098,0.4191375,0.004735663,0.06777988,0.007037683,0.00004840318,0.0002494248,0.00055697,0.4428335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02561387,"threshold_uncertainty_score":0.08568692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009976324894064501,"score_gpt":0.2514156794801362,"score_spread":0.2414393545860717,"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."}}