{"id":"W3034013791","doi":"10.36834/cmej.69318","title":"Journey of candidates who were unmatched in the Canadian Residency Matching Service (CaRMS): A phenomenological study","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Diversity and Career in Medicine","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Thematic analysis; Confidentiality; Psychology; Medical education; Qualitative research; Odds; Matching (statistics); Phenomenology (philosophy); Interview; Applied psychology; Social psychology; Medicine; Computer science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005105747,0.0005578495,0.0008017283,0.002379242,0.02570922,0.005956521,0.002227429,0.001768369,0.003302297],"category_scores_gemma":[0.009541001,0.0005894262,0.0006050974,0.002748852,0.009604213,0.002911686,0.0058763,0.003387098,0.0004233543],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02173458,"about_ca_system_score_gemma":0.04002478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.395464,"about_ca_topic_score_gemma":0.5812521,"domain_scores_codex":[0.9957551,0.001418421,0.0001186519,0.0003340214,0.0007859679,0.001587903],"domain_scores_gemma":[0.9931031,0.001740633,0.0006477074,0.000151552,0.001235103,0.003121857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003751213,0.00004142643,0.006795673,0.0000897972,0.000004228159,0.001612581,0.9846939,0.00003081979,0.000401435,0.000768849,0.001564947,0.003958892],"study_design_scores_gemma":[9.512922e-7,0.00002695236,0.00183011,0.00005898861,0.000002072897,0.0002072261,0.9919547,0.00002621403,0.00003673135,0.00004453412,0.005800406,0.00001108978],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918929,0.0006148799,0.0004613101,0.00268085,0.0001092543,0.0002141577,0.0001341922,0.00001205747,0.00388032],"genre_scores_gemma":[0.9932438,0.001030978,0.000540857,0.001258176,0.00003355198,0.0001140814,0.00009034293,0.00002063245,0.003667657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9782654,"threshold_uncertainty_score":0.7863243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04293357080294018,"score_gpt":0.324223458734649,"score_spread":0.2812898879317088,"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."}}