{"id":"W7036502872","doi":"","title":"Bringing Section 8 Home: An Argument for Recognizing a Reasonable Expectation of Privacy in Metadata Collected from Smart Home Devices","year":2022,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Argument (complex analysis); Charter; Section (typography); Home automation; Enforcement; Information privacy; Point (geometry); Supreme court","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02813838,0.0006318986,0.001111363,0.002469275,0.0118631,0.01517757,0.003704281,0.02096198,0.003778182],"category_scores_gemma":[0.06723105,0.001173679,0.002174857,0.001666508,0.04642948,0.01661953,0.007305115,0.01902395,0.001080897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02056337,"about_ca_system_score_gemma":0.02527959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1237269,"about_ca_topic_score_gemma":0.0775433,"domain_scores_codex":[0.9533912,0.01506678,0.001975369,0.006198526,0.01857299,0.004795163],"domain_scores_gemma":[0.9465725,0.03649377,0.003030443,0.005614255,0.007123885,0.001165135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002092604,0.00001205223,0.0003496205,0.00001207932,0.000008448001,0.0001890749,0.001390301,0.0002303989,0.0001108478,0.9939785,0.002421498,0.00127617],"study_design_scores_gemma":[0.00008295762,0.00005738235,0.0009679293,0.0002660534,0.00006236463,0.0001717257,0.001684614,0.001911167,0.001041396,0.9470574,0.04659401,0.0001031108],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1021547,0.002107783,0.06638312,0.2513354,0.0008238325,0.0003766622,0.0004829829,0.000203307,0.5761322],"genre_scores_gemma":[0.9073344,0.0007442997,0.01062213,0.06278996,0.0008613722,0.000359199,0.0001456405,0.00008550533,0.01705739],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1237269,"threshold_uncertainty_score":0.2460133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807525695811476,"score_gpt":0.2321630104994702,"score_spread":0.2040877535413554,"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."}}