{"id":"W4393140293","doi":"10.32920/25475449.v1","title":"Social Media Privacy in Canada","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Internet privacy; Business; Political science; Computer science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0006657325,0.0001586286,0.0002357046,0.0001194628,0.0002101019,0.0001723507,0.0009268058,0.0002979667,0.0005427086],"category_scores_gemma":[0.0009783811,0.0001625479,0.00006431752,0.0002678938,0.00008802662,0.00007508519,0.002715671,0.001011049,0.00007106532],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002131365,"about_ca_system_score_gemma":0.01001838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977761,"about_ca_topic_score_gemma":0.9998034,"domain_scores_codex":[0.9981167,0.0002021785,0.0002652133,0.0004315212,0.0006138018,0.0003706253],"domain_scores_gemma":[0.9993698,0.0001205318,0.00006835163,0.0002869485,0.00004783896,0.0001065373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003203613,0.00009938308,0.00285057,0.0005953058,0.00009008334,0.0001992527,0.1465344,0.00001184392,0.00001262357,0.2108136,0.5695285,0.06923238],"study_design_scores_gemma":[0.0001575412,0.00000307282,0.004571137,0.00009461778,0.00002526784,4.697403e-7,0.009128817,0.000134431,0.00004002323,0.7129537,0.2723857,0.0005051534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4621074,0.002306339,0.0001312657,0.08824173,0.02074179,0.002019172,0.0005078877,0.0006998891,0.4232446],"genre_scores_gemma":[0.9971655,0.0002275456,0.0001262274,0.0001834748,0.001725341,0.0000578668,0.0000703211,0.00001493182,0.0004287763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5350581,"threshold_uncertainty_score":0.9955939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04552314286174924,"score_gpt":0.317484627996346,"score_spread":0.2719614851345967,"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."}}