{"id":"W6990563555","doi":"","title":"Diverse Political Women in Canada and Online Attacks: Experiences, Perspectives, and Insights","year":2019,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Ideology; Online and offline; Radicalization; Intersectionality; Harassment; Online community; Reflexivity; Racism","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":[0.002485722,0.0009333645,0.0008415201,0.003218048,0.05487746,0.01437373,0.002145618,0.002862276,0.006119895],"category_scores_gemma":[0.004844449,0.0006118611,0.0003994585,0.00602754,0.01998706,0.003876726,0.009463182,0.004510872,0.0005440874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05833913,"about_ca_system_score_gemma":0.05707698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9497927,"about_ca_topic_score_gemma":0.9751323,"domain_scores_codex":[0.9950898,0.001076051,0.00007198378,0.0003113217,0.00102502,0.002425847],"domain_scores_gemma":[0.9964687,0.00096338,0.000240518,0.00008674691,0.0005575097,0.001683222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002531307,0.00002014417,0.004421542,0.00003760707,0.000003807776,0.001082395,0.9825033,0.00002798841,0.0002784039,0.003249829,0.003676237,0.004673388],"study_design_scores_gemma":[0.000001545823,0.000005994803,0.001476828,0.00004477399,0.000002818521,0.0001381095,0.9745271,0.00002427333,0.00006712705,0.0001434094,0.02355426,0.00001389762],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9267858,0.002202167,0.0006047644,0.01379044,0.000381905,0.00009993723,0.0003678879,0.00003975546,0.05572731],"genre_scores_gemma":[0.9711329,0.001905544,0.0003136248,0.003223943,0.00007769394,0.00005239612,0.0001396021,0.00005881977,0.02309554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05833913,"threshold_uncertainty_score":0.423282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007952565531632936,"score_gpt":0.160380005174509,"score_spread":0.1524274396428761,"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."}}