{"id":"W2072002474","doi":"10.12927/hcq..16699","title":"Letters of Reference to Remain Confidential","year":2000,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Torture, Ethics, and Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"CARE Canada","funders":"","keywords":"Confidentiality; Internet privacy; Best practice; Business; Medicine; Computer security; Political science; Computer 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":[0.003193612,0.0007900959,0.00125444,0.001218553,0.007308217,0.007850992,0.001812537,0.01813671,0.1691985],"category_scores_gemma":[0.09213098,0.0006700876,0.0008747423,0.001356366,0.001622477,0.003256437,0.002157134,0.0133207,0.1386343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002662703,"about_ca_system_score_gemma":0.005870785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004357751,"about_ca_topic_score_gemma":0.006972018,"domain_scores_codex":[0.9958405,0.0009416296,0.0005151476,0.0002767313,0.001550707,0.0008752992],"domain_scores_gemma":[0.9559597,0.01547293,0.002244621,0.003573424,0.01918586,0.003563453],"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":[0.00005767537,0.00002476193,0.0001708074,0.00004246895,0.000003991017,0.0002052739,0.0001666379,0.0000226882,0.0001181975,0.0024672,0.9905529,0.006167368],"study_design_scores_gemma":[0.00001980955,0.00003339275,0.001006768,0.0001454646,0.000004316028,0.0001670558,0.0005335227,0.0001198245,0.0002138326,0.002231444,0.9955023,0.00002225807],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00432491,0.002397415,0.001088832,0.5599834,0.1697765,0.0003404331,0.001505681,0.0006721393,0.2599107],"genre_scores_gemma":[0.01939104,0.001137126,0.0005534617,0.1361682,0.02383597,0.0002549813,0.0004980621,0.0002861774,0.817875],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1691985,"threshold_uncertainty_score":0.5660255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04272595622186456,"score_gpt":0.3572377802349312,"score_spread":0.3145118240130667,"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."}}