{"id":"W2784736400","doi":"10.26443/ijwpc.v5i1.158","title":"Bringing diversity of experience into decision-making about surgery: developing an app for that","year":2018,"lang":"en","type":"article","venue":"International Journal of Whole Person Care","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Mary's Hospital Centre; McGill University; McGill University Health Centre","funders":"Fondation du cancer du sein du Québec","keywords":"Narrative; Experiential learning; Informatics; Health informatics; Breast cancer; Medical education; Diversity (politics); Medicine; Experiential knowledge; Information needs; Computer science; Multimedia; World Wide Web; Psychology; Nursing; Cancer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.003908315,0.001177763,0.0004151598,0.0009579467,0.001475462,0.002810911,0.00160489,0.001587205,0.005712206],"category_scores_gemma":[0.009077644,0.0004753837,0.0008138124,0.0004763218,0.0008915047,0.003317574,0.003704619,0.001253357,0.001392788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005011506,"about_ca_system_score_gemma":0.001719123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001963508,"about_ca_topic_score_gemma":0.00560207,"domain_scores_codex":[0.9977068,0.001091635,0.0001695191,0.0002741704,0.0004725968,0.0002852325],"domain_scores_gemma":[0.9955751,0.002624548,0.0002128772,0.000335448,0.0005611756,0.0006908795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008569676,0.003422719,0.03909142,0.003618873,0.0001574381,0.005825035,0.09284415,0.001674676,0.04101963,0.002777903,0.03232868,0.7763826],"study_design_scores_gemma":[0.001041272,0.007969359,0.07776984,0.005786191,0.0008453017,0.01621584,0.1292292,0.0283136,0.03438642,0.01288061,0.684452,0.001110364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6954731,0.002284244,0.2355658,0.009172771,0.0009071513,0.006947041,0.0009308583,0.006437947,0.04228109],"genre_scores_gemma":[0.5425012,0.001841135,0.4340031,0.002330468,0.0002065343,0.002566959,0.0009416096,0.0003532346,0.01525577],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005712206,"threshold_uncertainty_score":0.0206694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112063724014275,"score_gpt":0.403452822714735,"score_spread":0.29138909870046,"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."}}