{"id":"W2737647136","doi":"10.3897/rio.3.e15133","title":"Data Management Plan: HarassMap","year":2017,"lang":"en","type":"article","venue":"Research Ideas and Outcomes","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Social media; Harassment; World Wide Web; Computer science; Download; Internet privacy; Confidentiality; Anonymity; Raw data; Computer security; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02591687,0.001503071,0.002699325,0.011404,0.002510379,0.008824917,0.003999281,0.003293039,0.530286],"category_scores_gemma":[0.1257509,0.001982771,0.001923339,0.01595677,0.002027505,0.006441379,0.006449373,0.005264791,0.2101137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004338001,"about_ca_system_score_gemma":0.02184691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009520268,"about_ca_topic_score_gemma":0.007083455,"domain_scores_codex":[0.9862942,0.003781733,0.003836619,0.002182956,0.002763566,0.001140841],"domain_scores_gemma":[0.9189309,0.02553702,0.005870197,0.01436605,0.03000497,0.005290917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003669996,0.00007466751,0.001299362,0.004690906,0.00005194598,0.00006898282,0.0005793067,0.0004099061,0.0002594455,0.005711449,0.9556973,0.0307897],"study_design_scores_gemma":[0.0004805691,0.00005414265,0.003533037,0.002945381,0.00003042236,0.00003396786,0.0008983223,0.0005332692,0.0004575795,0.006155949,0.9847994,0.00007801384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004261417,0.0000761728,0.004326473,0.001624938,0.0005317189,0.01155807,0.9613686,0.00363084,0.01645709],"genre_scores_gemma":[0.007858792,0.000550647,0.06586311,0.002836141,0.0002786929,0.1911649,0.6990283,0.005038677,0.02738075],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.530286,"threshold_uncertainty_score":0.6699899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2829396589760891,"score_gpt":0.4612279920044464,"score_spread":0.1782883330283572,"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."}}