{"id":"W4405072109","doi":"10.31235/osf.io/v7a8w","title":"Online Violence Against Women in Politics: Canada in a Comparative Perspective","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Politics; Political science; Gender studies; Sociology; Computer science; Law; Artificial intelligence","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":[0.002638056,0.000420957,0.0008322774,0.006467156,0.03784586,0.01407253,0.001661601,0.002182636,0.01033751],"category_scores_gemma":[0.00673003,0.0003799171,0.0004818465,0.0189972,0.01105832,0.003310587,0.005338061,0.003134584,0.0004631622],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.145921,"about_ca_system_score_gemma":0.161628,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99552,"about_ca_topic_score_gemma":0.9981465,"domain_scores_codex":[0.9942572,0.001208608,0.0001040507,0.0003425071,0.001466577,0.002621052],"domain_scores_gemma":[0.9945458,0.001606762,0.0003506223,0.0001773767,0.00177376,0.001545656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001628414,0.0001383951,0.06626727,0.0009029046,0.0000968768,0.003495022,0.5670512,0.0007098668,0.000764214,0.2288075,0.05868981,0.07291421],"study_design_scores_gemma":[0.00001047683,0.0000282448,0.04281624,0.0008108224,0.00005321782,0.0004456265,0.6756233,0.0001980339,0.0002526032,0.003040349,0.2766471,0.00007398441],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5663897,0.02333315,0.0009017795,0.04373236,0.0007349676,0.0001252821,0.002023642,0.0000414005,0.3627179],"genre_scores_gemma":[0.9616331,0.01214551,0.000525317,0.004526803,0.00006884406,0.00004978871,0.0004400672,0.00004336701,0.0205672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.145921,"threshold_uncertainty_score":0.9906106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04923609922423246,"score_gpt":0.3756254821483004,"score_spread":0.326389382924068,"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."}}