{"id":"W2477887836","doi":"10.1017/cbo9780511614033.009","title":"Appendix: Characteristics of Interviewees","year":2004,"lang":"en","type":"other","venue":"","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pseudonym; Anonymity; Personally identifiable information; Internet privacy; Psychology; Genealogy; Computer science; History; Computer security; Political science; Law","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":[0.003095043,0.0007478295,0.0006441947,0.005850471,0.001864525,0.0008677942,0.0008630239,0.0009298571,0.2683349],"category_scores_gemma":[0.02477252,0.0004163837,0.0002149482,0.007908066,0.0002992016,0.00116507,0.0008393564,0.00101464,0.05336095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00216018,"about_ca_system_score_gemma":0.003093147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008510861,"about_ca_topic_score_gemma":0.008972466,"domain_scores_codex":[0.9981902,0.0004950823,0.0004672412,0.0001894394,0.0003882136,0.0002698451],"domain_scores_gemma":[0.9783678,0.008734449,0.00221372,0.0009661315,0.008426025,0.001291817],"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":[0.0003417226,0.0006459837,0.0345464,0.001281423,0.00001399224,0.0003418813,0.005603753,0.0002758796,0.0004808422,0.002519696,0.9010872,0.05286124],"study_design_scores_gemma":[0.0002165533,0.0004423145,0.2255436,0.001817386,0.00002896777,0.001698815,0.03246386,0.0005187945,0.001000764,0.005294391,0.7308944,0.00008011945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.07573832,0.0007479603,0.00465943,0.003718398,0.0005806908,0.01250915,0.8075511,0.0003886076,0.09410635],"genre_scores_gemma":[0.1819359,0.003169404,0.01746806,0.00297951,0.0003568602,0.07572975,0.5450526,0.0003655736,0.1729424],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2683349,"threshold_uncertainty_score":0.8976697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05081352549993763,"score_gpt":0.4155178119499122,"score_spread":0.3647042864499746,"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."}}