{"id":"W1530189673","doi":"","title":"Not quite a perfect match","year":2003,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Computer science; Service (business); Information retrieval; Medical education; Medicine; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009594683,0.0003503905,0.0007935015,0.001698635,0.0106152,0.005340216,0.001653683,0.002347224,0.0689669],"category_scores_gemma":[0.04000243,0.0005180676,0.0005205584,0.00216763,0.004613562,0.00575212,0.005693514,0.003463611,0.01749628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00271443,"about_ca_system_score_gemma":0.00968019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04439261,"about_ca_topic_score_gemma":0.08842757,"domain_scores_codex":[0.9893909,0.002363914,0.0004788176,0.001549397,0.003859681,0.002357183],"domain_scores_gemma":[0.9893748,0.001464226,0.0007711877,0.001191771,0.003009998,0.004188037],"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":[0.0001607688,0.00007710608,0.01773045,0.0001787858,0.00009966722,0.0005802825,0.002542246,0.0001650064,0.0003188918,0.08344329,0.7409877,0.1537158],"study_design_scores_gemma":[0.00008546199,0.0001461895,0.0242687,0.0006608188,0.00006598343,0.002124827,0.01428909,0.0003417561,0.0004550593,0.06702055,0.8904416,0.00009992348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08659399,0.008117516,0.01206787,0.3970055,0.01836446,0.0002879074,0.004748614,0.0011145,0.4716997],"genre_scores_gemma":[0.6298833,0.005966268,0.01038032,0.1916028,0.002012882,0.0002779021,0.002899736,0.0008689714,0.1561078],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0689669,"threshold_uncertainty_score":0.2307172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717913326628872,"score_gpt":0.2439639863769984,"score_spread":0.2167848531107097,"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."}}