{"id":"W6912057509","doi":"10.5281/zenodo.14248942","title":"THE CRIMINALIZATION OF STALKING UNDER LAW Nº 14.132/2021: CHALLENGES AND ADVANCES IN THE PREVENTION OF GENDER-BASED VIOLENCE AND THE PROTECTION OF VICTIMS","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Stalking, Cyberstalking, and Harassment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stalking; Criminalization; Safeguarding; Legislation; Scope (computer science); Inclusion (mineral); Normative; Legal doctrine","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":[0.004335075,0.0002095344,0.0003403643,0.002915036,0.00176237,0.00305512,0.0007781027,0.001001138,0.00161818],"category_scores_gemma":[0.01515134,0.0002282152,0.0003154366,0.002591788,0.004798277,0.001892041,0.001377312,0.001011304,0.000265266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004171026,"about_ca_system_score_gemma":0.02299477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05235128,"about_ca_topic_score_gemma":0.08718456,"domain_scores_codex":[0.9973568,0.0008581225,0.0002137138,0.000271764,0.001042144,0.0002575315],"domain_scores_gemma":[0.991122,0.004633597,0.00187204,0.0005085211,0.001553485,0.0003104242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000560447,0.000113239,0.06599484,0.009848261,0.00006131607,0.002771053,0.08115723,0.0007379407,0.007799896,0.341513,0.01335525,0.476592],"study_design_scores_gemma":[0.00001243489,0.0001921566,0.1656456,0.01932146,0.0001441088,0.002949184,0.06072769,0.0006589769,0.002861316,0.02291247,0.7244936,0.00008092597],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4171165,0.1387683,0.008091743,0.08970924,0.001000701,0.000406952,0.0009323793,0.000153644,0.3438205],"genre_scores_gemma":[0.941108,0.04650708,0.002988766,0.002847115,0.0001811415,0.0001127955,0.0002518826,0.00003281171,0.005970194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05235128,"threshold_uncertainty_score":0.1040931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06871005688444853,"score_gpt":0.3118765599743941,"score_spread":0.2431665030899455,"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."}}