{"id":"W2150464112","doi":"10.1016/s0840-4704(10)60054-3","title":"Structured or Unstructured Personnel Interviews?","year":2008,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Medical Education and Admissions","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Interview; Semi-structured interview; Unstructured data; Psychology; Knowledge management; Applied psychology; Qualitative research; Computer science; Sociology; Data mining; Big data","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":[0.06453219,0.0005354928,0.0006972877,0.003053672,0.001406135,0.004501355,0.001293451,0.002782821,0.01751331],"category_scores_gemma":[0.08157101,0.000408554,0.0004085367,0.003455853,0.004630591,0.005166589,0.00387575,0.001838712,0.005763052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562427,"about_ca_system_score_gemma":0.005329652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007541145,"about_ca_topic_score_gemma":0.001533837,"domain_scores_codex":[0.9004311,0.0883091,0.003843826,0.001911133,0.00419764,0.001307224],"domain_scores_gemma":[0.9130573,0.07057548,0.005553743,0.003428729,0.005252117,0.002132695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003239501,0.0001830934,0.002784886,0.0109123,0.0000500383,0.0008944523,0.08950549,0.0003923166,0.00211937,0.1742747,0.1463591,0.5722004],"study_design_scores_gemma":[0.0001407362,0.0002810853,0.002476186,0.0116306,0.00002063764,0.001404399,0.1128353,0.0006961024,0.0006748761,0.1348542,0.7349193,0.00006667302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03758199,0.08414029,0.3917415,0.1576471,0.0277138,0.01179105,0.00369325,0.00093878,0.2847521],"genre_scores_gemma":[0.3485837,0.07454494,0.4234864,0.05991457,0.009289539,0.02585643,0.003349993,0.000414236,0.05456019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06453219,"threshold_uncertainty_score":0.3412829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06513452656999488,"score_gpt":0.3587422299375096,"score_spread":0.2936077033675147,"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."}}