{"id":"W2889585925","doi":"10.1111/medu.13670","title":"Thinking of selection and widening access as complex and wicked problems","year":2018,"lang":"en","type":"review","venue":"Medical Education","topic":"Medical Education and Admissions","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Wicked problem; Selection (genetic algorithm); Framing (construction); Context (archaeology); Engineering ethics; Frame (networking); Sociology; Management science; Epistemology; Psychology; Computer science; Artificial intelligence; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.05153877,0.001168926,0.001175638,0.005330842,0.007803027,0.01611216,0.00322657,0.006097753,0.003622023],"category_scores_gemma":[0.06501974,0.00092339,0.001846426,0.003391206,0.1031934,0.03571823,0.01438112,0.01156381,0.0003842957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01071884,"about_ca_system_score_gemma":0.01304143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005854785,"about_ca_topic_score_gemma":0.004060783,"domain_scores_codex":[0.9448254,0.03818009,0.002117343,0.004450778,0.007557639,0.002868834],"domain_scores_gemma":[0.8765603,0.09871841,0.00850337,0.005922235,0.005897745,0.004397847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002408233,0.00003470936,0.003877503,0.0003596062,0.00005419687,0.0004758238,0.04886499,0.002061432,0.0002093965,0.9254596,0.003300106,0.01527854],"study_design_scores_gemma":[0.0000137101,0.00002829527,0.001043956,0.0003856733,0.00001887591,0.0002911793,0.0258987,0.002250774,0.0002027327,0.9437292,0.02608763,0.00004913937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1601349,0.01197706,0.3758861,0.3329144,0.002018539,0.000683639,0.0002241244,0.0002431431,0.1159181],"genre_scores_gemma":[0.929801,0.003566498,0.05244145,0.009514539,0.0007077597,0.0003959932,0.00009307981,0.00008129101,0.003398484],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05153877,"threshold_uncertainty_score":0.2725664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1057512818529728,"score_gpt":0.4781506943893093,"score_spread":0.3723994125363365,"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."}}