{"id":"W2243969941","doi":"10.7062/stlr.201005.0044","title":"個人醫療資訊隱私保護之立法趨勢探究－以美國、加拿大爲例","year":2010,"lang":"zh","type":"article","venue":"科技法律透析","topic":"Patient Dignity and Privacy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Order (exchange); Computer security; Information exchange; Personally identifiable information; Internet privacy; Information privacy; Data Protection Act 1998; Electronic data; Risk analysis (engineering); Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004232091,0.0003556783,0.0004858554,0.0001710824,0.0002293039,0.00006828067,0.0004089783,0.0004691019,0.007926842],"category_scores_gemma":[0.000828767,0.000336646,0.000233556,0.0003445878,0.0002439693,0.0001758265,0.0001892547,0.001451181,0.01025964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004259599,"about_ca_system_score_gemma":0.000291035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001807861,"about_ca_topic_score_gemma":0.00007056012,"domain_scores_codex":[0.9977024,0.00008377597,0.0004644484,0.0004953091,0.0005228547,0.0007312421],"domain_scores_gemma":[0.9978287,0.0002179901,0.0001631224,0.001101741,0.0001393847,0.0005490391],"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":[0.001258817,0.004468937,0.2477578,0.001502971,0.001000578,0.001261262,0.01268499,0.000004543725,0.1408144,0.1271987,0.2746447,0.1874023],"study_design_scores_gemma":[0.00372428,0.0007831597,0.06968674,0.0003137014,0.0004256121,0.0001033101,0.000284041,0.0002428831,0.005716218,0.007718133,0.9103069,0.000695032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5540409,0.0009305961,0.00006420798,0.004040198,0.00544082,0.0004985463,0.00006481621,0.0001577661,0.4347621],"genre_scores_gemma":[0.9756416,0.0001820988,0.0006882608,0.002735171,0.002888546,0.00001488462,0.00008352959,0.00005811448,0.01770777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6356623,"threshold_uncertainty_score":0.9999086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04658666317733934,"score_gpt":0.3144716372328916,"score_spread":0.2678849740555523,"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."}}