{"id":"W4360763737","doi":"10.1109/iccpc55978.2022.10072281","title":"Women Safety App for Detecting the Stalkers behavior","year":2022,"lang":"en","type":"article","venue":"","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Harassment; Action (physics); Computer science; Wearable computer; Computer security; Internet privacy; Harm; Human–computer interaction; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001956728,0.001004364,0.0003898398,0.000997819,0.0002821503,0.0004245348,0.000524101,0.0006880144,0.02791448],"category_scores_gemma":[0.0007142856,0.000218693,0.0002727934,0.0002345581,0.00008850465,0.0004485678,0.0006750823,0.0003262432,0.008792305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001097184,"about_ca_system_score_gemma":0.0002272855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001263966,"about_ca_topic_score_gemma":0.003196264,"domain_scores_codex":[0.9998224,0.00002520056,0.00001508786,0.00003938226,0.00007051131,0.00002734978],"domain_scores_gemma":[0.9996649,0.0001012958,0.00005303876,0.00002043623,0.0001050832,0.00005529177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002741072,0.001072258,0.07003138,0.002335388,0.0001492003,0.002514826,0.002484851,0.0003092767,0.05609411,0.001177204,0.289256,0.5718344],"study_design_scores_gemma":[0.000421112,0.00407291,0.3667383,0.001326253,0.0005865849,0.01185861,0.003795638,0.01814293,0.08760001,0.002343283,0.5027096,0.0004048538],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.523515,0.009443186,0.08345397,0.003747177,0.002011458,0.005240759,0.06689963,0.1106866,0.1950023],"genre_scores_gemma":[0.7472018,0.002921843,0.06623892,0.002606186,0.0004894822,0.002935844,0.01354391,0.0009100357,0.163152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02791448,"threshold_uncertainty_score":0.09338331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00983480930257439,"score_gpt":0.200613648094693,"score_spread":0.1907788387921187,"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."}}