{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001943228,0.0003051819,0.0004953477,0.002502196,0.01440018,0.00597989,0.001134685,0.000956936,0.009548619],"category_scores_gemma":[0.007427884,0.0004968049,0.0006169133,0.009337655,0.00245529,0.001478855,0.002333411,0.001838341,0.0005122103],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1646616,"about_ca_system_score_gemma":0.3179224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999369,"about_ca_topic_score_gemma":0.9994454,"domain_scores_codex":[0.9948899,0.0002737305,0.0001355366,0.0004183769,0.002457655,0.001824821],"domain_scores_gemma":[0.988674,0.000983443,0.000744091,0.000272639,0.006223454,0.003102427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003972356,0.0002524602,0.3991756,0.0008122949,0.0001795582,0.001227603,0.04578109,0.001530953,0.001300431,0.0976844,0.2931175,0.1585409],"study_design_scores_gemma":[0.00005259656,0.00006784912,0.5532797,0.0005823394,0.00007756575,0.0002462344,0.05074352,0.001468808,0.0008530102,0.002656137,0.389803,0.0001693371],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6666875,0.01495987,0.001140477,0.105015,0.0008031167,0.0002445036,0.03027889,0.000210763,0.1806599],"genre_scores_gemma":[0.9481208,0.00693399,0.0007026033,0.005584081,0.0000848128,0.000059429,0.003330892,0.00007494846,0.03510841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1646616,"threshold_uncertainty_score":0.9688742,"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."}}