{"id":"W2613706962","doi":"","title":"Rupa Patel: “We straddle those worlds”","year":2014,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"NOSM University","funders":"","keywords":"Straddle; Computer science; World Wide Web; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00263989,0.0004636551,0.0003069469,0.001485828,0.02811556,0.007463494,0.001646687,0.006430889,0.02363073],"category_scores_gemma":[0.01284072,0.0003738523,0.0002627273,0.001768901,0.0127287,0.00453645,0.003162118,0.01114288,0.003042227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03278788,"about_ca_system_score_gemma":0.08249158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9143725,"about_ca_topic_score_gemma":0.9739307,"domain_scores_codex":[0.9974294,0.0007288143,0.00008159792,0.0002460531,0.0008849346,0.000629125],"domain_scores_gemma":[0.9949784,0.00104738,0.0001843842,0.0001241662,0.002237537,0.001428054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006521647,0.000005946391,0.0003030928,0.00005044628,0.000002844861,0.0002116453,0.01045008,0.00001751159,0.00007229047,0.02948763,0.9478872,0.01150479],"study_design_scores_gemma":[0.000002871912,0.000002118829,0.0006696124,0.0001517593,0.000004463478,0.0002176141,0.02090673,0.00001721337,0.00005581629,0.002998812,0.974955,0.00001802285],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003109933,0.0206613,0.0007727375,0.8393385,0.0156331,0.00005186957,0.0001698083,0.0001270072,0.1201357],"genre_scores_gemma":[0.1145852,0.02419385,0.0031253,0.5013322,0.005138298,0.0001322517,0.0001392438,0.0003585021,0.350995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0856275,"threshold_uncertainty_score":0.2378938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04162545038519437,"score_gpt":0.2217932489116834,"score_spread":0.180167798526489,"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."}}